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José C. Príncipe

José Carlos Príncipe

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affiliation: University of Florida, Gainesville, USA

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2025
[j287]
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Badong Chen, Shujian Yu, Robert Jenssen, José C. Príncipe, Klaus-Robert Müller:
Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 1957-1958 (2025)
2024
[j286]
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Miguel Lima Teixeira, João Pedro Oliveira, José C. Príncipe, João Goes:
A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-Time Converter for Biological and Low-Frequency Signals - Comparison With Analog Version. IEEE Trans. Biomed. Circuits Syst. 18(4): 861-871 (2024)
[j285]
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Jing Yang, Yuehai Chen, Shaoyi Du, Badong Chen, José C. Príncipe:
IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction. IEEE Trans. Cybern. 54(7): 3904-3917 (2024)
[c394]
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Bo Hu, Yuheng Bu, José C. Príncipe:
Learning Orthonormal Features in Self-Supervised Learning using Functional Maximal Correlation. ICIP 2024: 472-478
[c393]
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Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
Cauchy-Schwarz Divergence Information Bottleneck for Regression. ICLR 2024
[c392]
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  - conf/ijcnn/SawahashiP24
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Naoki Sawahashi, José C. Príncipe:
End-to-end Image Classification in Linear Hybrid Cellular Automata. IJCNN 2024: 1-6
[c391]
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Rishabh Singh, Yaxin Ma, José C. Príncipe:
Finding Local Dependent Regions in PDFs using RKHS Uncertainty Moments and Optimal Transport. IJCNN 2024: 1-6
[c390]
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Shihan Ma, Bo Hu, Tianyu Jia, Alexander Kenneth Clarke, Blanka Zicher, Arnault H. Caillet, Dario Farina, José C. Príncipe:
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios. NeurIPS 2024
[i80]
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  - journals/corr/abs-2401-11313
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Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King, Steven H. Ostertag, Denton L. Woods, James L. Prater, Jermaine L. Kennedy, Timothy M. Marston, José C. Príncipe:
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. CoRR abs/2401.11313 (2024)
[i79]
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  - journals/corr/abs-2404-17951
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Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
Cauchy-Schwarz Divergence Information Bottleneck for Regression. CoRR abs/2404.17951 (2024)
[i78]
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  - journals/corr/abs-2409-04945
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Wenqian Xue, Chi Ding, José C. Príncipe:
Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels. CoRR abs/2409.04945 (2024)
[i77]
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  - journals/corr/abs-2410-14697
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Shihan Ma, Bo Hu, Tianyu Jia, Alexander Kenneth Clarke, Blanka Zicher, Arnault H. Caillet, Dario Farina, José C. Príncipe:
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios. CoRR abs/2410.14697 (2024)
[i76]
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  - journals/corr/abs-2411-00198
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Kan Li, José C. Príncipe:
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. CoRR abs/2411.00198 (2024)
[i75]
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  - journals/corr/abs-2412-03800
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Hongming Li, Shujian Yu, Bin Liu, José C. Príncipe:
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy. CoRR abs/2412.03800 (2024)
2023
[j284]
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  - journals/entropy/WickstromLKYPJ23
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Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen:
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy 25(6): 899 (2023)
[j283]
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Nan Liu, Badong Chen, José C. Príncipe:
Special issue on smart healthcare: artificial intelligence in biomedicine. J. Ambient Intell. Humaniz. Comput. 14(11): 15427 (2023)
[j282]
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Shiyu Duan, Spencer Chang, José C. Príncipe:
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels. J. Mach. Learn. Res. 24: 31:1-31:35 (2023)
[j281]
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Yantao Wei, Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe:
Multiscale principle of relevant information for hyperspectral image classification. Mach. Learn. 112(4): 1227-1252 (2023)
[j280]
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  - journals/tnn/SledgeP23
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Isaac J. Sledge, José C. Príncipe:
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5156-5170 (2023)
[c389]
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Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. AAAI 2023: 8562-8570
[c388]
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  - conf/biocas/TeixeiraOPG23
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Miguel Lima Teixeira, João Pedro Oliveira, José C. Príncipe, João Goes:
A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire ATC for Biological and Low-Frequency Signals. BioCAS 2023: 1-5
[c387]
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  - conf/ijcnn/DouP23
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Ran Dou, José C. Príncipe:
Universal Recurrent Event Memories for Streaming Data. IJCNN 2023: 1-10
[c386]
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  - conf/ijcnn/DouP23a
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Ran Dou, José C. Príncipe:
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. IJCNN 2023: 1-6
[c385]
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  - conf/mlsp/SunHP23
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Yao Sun, Bo Hu, José C. Príncipe:
The Kernel Maximal Correlation Filter. MLSP 2023: 1-6
[c384]
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  - conf/ssp/HuP23
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Bo Hu, José C. Príncipe:
Cross Density Kernel for Nonstationary Signal Processing. SSP 2023: 195-199
[i74]
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  - journals/corr/abs-2301-06574
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Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. CoRR abs/2301.06574 (2023)
[i73]
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  - journals/corr/abs-2301-08970
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Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR abs/2301.08970 (2023)
[i72]
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  - journals/corr/abs-2305-20074
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Bo Hu, Yuheng Bu, José C. Príncipe:
Feature Learning in Image Hierarchies using Functional Maximal Correlation. CoRR abs/2305.20074 (2023)
[i71]
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  - journals/corr/abs-2307-15679
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Ran Dou, José C. Príncipe:
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. CoRR abs/2307.15679 (2023)
[i70]
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  - journals/corr/abs-2307-15694
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Ran Dou, José C. Príncipe:
Universal Recurrent Event Memories for Streaming Data. CoRR abs/2307.15694 (2023)
[i69]
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  - journals/corr/abs-2312-12318
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Benjamin Colburn, José C. Príncipe, Luis Gonzalo Sánchez Giraldo:
An Alternate View on Optimal Filtering in an RKHS. CoRR abs/2312.12318 (2023)
2022
[j279]
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  - journals/cim/DuanP22
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Shiyu Duan, José C. Príncipe:
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods. IEEE Comput. Intell. Mag. 17(4): 39-51 (2022)
[j278]
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  - journals/nn/LiDKP22
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Hongming Li, Ran Dou, Andreas Keil, José C. Príncipe:
A self-learning cognitive architecture exploiting causality from rewards. Neural Networks 150: 274-292 (2022)
[j277]
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  - journals/tetci/SledgeBP22
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Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe:
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1137-1156 (2022)
[j276]
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Shiyu Duan, Shujian Yu, José C. Príncipe:
Modularizing Deep Learning via Pairwise Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1441-1451 (2022)
[j275]
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Kan Li, José C. Príncipe:
Functional Bayesian Filter. IEEE Trans. Signal Process. 70: 57-71 (2022)
[c383]
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Hongming Li, Shujian Yu, José C. Príncipe:
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. ICASSP 2022: 3878-3882
[c382]
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  - conf/ijcnn/ChangP22
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Spencer Chang, José C. Príncipe:
Explaining Deep and ResNet Architecture Choices with Information Flow. IJCNN 2022: 1-6
[c381]
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Ran Dou, José C. Príncipe:
The Extended Kernel Adaptive Autoregressive-Moving-Average Algorithm. IJCNN 2022: 1-6
[c380]
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  - conf/ijcnn/ZhuP22
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Pingping Zhu, José C. Príncipe:
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. IJCNN 2022: 1-10
[c379]
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  - conf/lion/BelavkinPP22
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Roman V. Belavkin, Panos M. Pardalos, José C. Príncipe:
Value of Information in the Mean-Square Case and Its Application to the Analysis of Financial Time-Series Forecast. LION 2022: 549-563
[c378]
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Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe:
Principle of relevant information for graph sparsification. UAI 2022: 2331-2341
[i68]
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  - journals/corr/abs-2202-02951
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Hongming Li, Shujian Yu, José C. Príncipe:
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. CoRR abs/2202.02951 (2022)
[i67]
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  - journals/corr/abs-2202-13255
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Leila Kalantari, José C. Príncipe, Kathryn E. Sieving:
Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio. CoRR abs/2202.13255 (2022)
[i66]
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  - journals/corr/abs-2206-00118
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Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe:
Principle of Relevant Information for Graph Sparsification. CoRR abs/2206.00118 (2022)
[i65]
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  - journals/corr/abs-2211-01999
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Rishabh Singh, José C. Príncipe:
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS. CoRR abs/2211.01999 (2022)
[i64]
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  - journals/corr/abs-2211-02005
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Rishabh Singh, José C. Príncipe:
Robust Dependence Measure using RKHS based Uncertainty Moments and Optimal Transport. CoRR abs/2211.02005 (2022)
[i63]
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  - journals/corr/abs-2212-04631
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Bo Hu, José C. Príncipe:
The Cross Density Kernel Function: A Novel Framework to Quantify Statistical Dependence for Random Processes. CoRR abs/2212.04631 (2022)
[i62]
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  - journals/corr/abs-2212-11083
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Isaac J. Sledge, José C. Príncipe:
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. CoRR abs/2212.11083 (2022)
2021
[j274]
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  - journals/frai/LiP21
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Kan Li, José C. Príncipe:
Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge. Frontiers Artif. Intell. 4: 568384 (2021)
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Jianji Wang, Pei Chen, Nanning Zheng, Badong Chen, José C. Príncipe, Fei-Yue Wang:
Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding. Neurocomputing 422: 139-149 (2021)
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Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe:
Interpretable fault detection using projections of mutual information matrix. J. Frankl. Inst. 358(7): 4028-4057 (2021)
[j271]
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Rishabh Singh, José C. Príncipe:
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models. Neural Comput. 33(5): 1164-1198 (2021)
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Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe:
Unsupervised foveal vision neural architecture with top-down attention. Neural Networks 141: 145-159 (2021)
[j269]
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Yiwen Wang, José C. Príncipe:
Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain?Machine Interface Adaptation. IEEE Signal Process. Mag. 38(4): 34-45 (2021)
[j268]
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Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, José C. Príncipe:
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Trans. Neural Networks Learn. Syst. 32(1): 435-442 (2021)
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Badong Chen, Lei Xing, Haiquan Zhao, Shaoyi Du, José C. Príncipe:
Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 4007-4012 (2021)
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Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Minimum Error Entropy Kalman Filter. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5819-5829 (2021)
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Bo Hu, José C. Príncipe:
MIMO Modeling by Learning Explicitly the Projection Space: The Maximum Correlation Ratio Cost Function. IEEE Trans. Signal Process. 69: 6039-6054 (2021)
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Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe:
Measuring Dependence with Matrix-based Entropy Functional. AAAI 2021: 10781-10789
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Bo Hu, José C. Príncipe:
Training a Bank of Wiener Models with a Novel Quadratic Mutual Information Cost Function. ICASSP 2021: 3150-3154
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Xi Yu, Shujian Yu, José C. Príncipe:
Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional. ICASSP 2021: 3160-3164
[c374]
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Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe:
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities. IJCAI 2021: 4669-4678
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Hongming Li, José C. Príncipe:
Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences. IJCNN 2021: 1-6
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Shailaja Akella, Ali Mohebi, Kierstin Riels, Andreas Keil, Karim G. Oweiss, José C. Príncipe:
Local power estimation of neuromodulations using point process modeling. NER 2021: 420-425
[i61]
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  - journals/corr/abs-2101-03419
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Shiyu Duan, José C. Príncipe:
Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey. CoRR abs/2101.03419 (2021)
[i60]
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Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, José C. Príncipe:
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders. CoRR abs/2101.03603 (2021)
[i59]
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Isaac J. Sledge, José C. Príncipe:
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. CoRR abs/2101.06848 (2021)
[i58]
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Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe:
Measuring Dependence with Matrix-based Entropy Functional. CoRR abs/2101.10160 (2021)
[i57]
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  - journals/corr/abs-2102-00533
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Xi Yu, Shujian Yu, José C. Príncipe:
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional. CoRR abs/2102.00533 (2021)
[i56]
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Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe:
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. CoRR abs/2102.12017 (2021)
[i55]
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Rishabh Singh, José C. Príncipe:
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts. CoRR abs/2103.01374 (2021)
[i54]
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Shiyu Duan, José C. Príncipe:
Labels, Information, and Computation: Efficient, Privacy-Preserving Learning Using Sufficient Labels. CoRR abs/2104.09015 (2021)
[i53]
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  - journals/corr/abs-2107-01799
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Isaac J. Sledge, José C. Príncipe:
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. CoRR abs/2107.01799 (2021)
[i52]
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Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri, José C. Príncipe:
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery. CoRR abs/2107.10504 (2021)
[i51]
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Leila Kalantari, José C. Príncipe, Kathryn E. Sieving:
Uncertainty quantification for multiclass data description. CoRR abs/2108.12857 (2021)
[i50]
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  - journals/corr/abs-2109-10888
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Rishabh Singh, José C. Príncipe:
Quantifying Model Predictive Uncertainty with Perturbation Theory. CoRR abs/2109.10888 (2021)
[i49]
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  - journals/corr/abs-2109-11737
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Isaac J. Sledge, José C. Príncipe:
Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. CoRR abs/2109.11737 (2021)
[i48]
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  - journals/corr/abs-2110-05794
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Bo Hu, Shujian Yu, José C. Príncipe:
Information Theoretic Structured Generative Modeling. CoRR abs/2110.05794 (2021)
2020
[j264]
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José C. Príncipe:
IEEE Fellows?Class of 2020 [Society Briefs]. IEEE Comput. Intell. Mag. 15(2): 6-10 (2020)
[j263]
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Jianyi Liu, José C. Príncipe, Arash Andalib:
Fast spatio-temporal decorrelation using FIR filter network with decoupled adaptive step sizes. Digit. Signal Process. 96 (2020)
[j262]
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Shiyu Duan, Shujian Yu, Yunmei Chen, José C. Príncipe:
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation. Neural Comput. 32(1): 97-135 (2020)
[j261]
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Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe:
Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2960-2966 (2020)
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Ying Ma, Joseph Brooks, Hongming Li, José C. Príncipe:
Procedural Memory Augmented Deep Reinforcement Learning. IEEE Trans. Artif. Intell. 1(2): 105-120 (2020)
[j259]
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Gabriel Nallathambi, José C. Príncipe:
Theory and Algorithms for Pulse Signal Processing. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2707-2718 (2020)
[j258]
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Ying Ma, José C. Príncipe:
A Taxonomy for Neural Memory Networks. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1780-1793 (2020)
[j257]
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Zhengda Qin, Badong Chen, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Probability Density Rank-Based Quantization for Convex Universal Learning Machines. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3100-3113 (2020)
[j256]
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Isaac J. Sledge, José C. Príncipe:
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4990-4998 (2020)
[j255]
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Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Models. IEEE Trans. Signal Process. 68: 2724-2738 (2020)
[c371]
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Rishabh Singh, Shujian Yu, José C. Príncipe:
Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System. ICASSP 2020: 2757-2761
[c370]
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José C. Príncipe:
A Cognitive Architecture for Object Recognition in Video. ICMLA 2020: 39
[c369]
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Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe:
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. IJCAI 2020: 2777-2784
[c368]
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Hongming Li, Ying Ma, José C. Príncipe:
Cognitive Architecture for Video Games. IJCNN 2020: 1-9
[c367]
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Isaac J. Sledge, José C. Príncipe:
Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. IJCNN 2020: 1-7
[c366]
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Rishabh Singh, José C. Príncipe:
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework. UAI 2020: 1368-1377
[i47]
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  - journals/corr/abs-2001-00265
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Kan Li, José C. Príncipe:
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. CoRR abs/2001.00265 (2020)
[i46]
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  - journals/corr/abs-2001-11495
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Rishabh Singh, José C. Príncipe:
Towards a Kernel based Physical Interpretation of Model Uncertainty. CoRR abs/2001.11495 (2020)
[i45]
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  - journals/corr/abs-2005-02196
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Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe:
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. CoRR abs/2005.02196 (2020)
[i44]
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  - journals/corr/abs-2005-05541
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Shiyu Duan, Shujian Yu, José C. Príncipe:
Modularizing Deep Learning via Pairwise Learning With Kernels. CoRR abs/2005.05541 (2020)
[i43]
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  - journals/corr/abs-2007-06503
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Yanjun Li, Shujian Yu, José C. Príncipe, Xiaolin Li, Dapeng Oliver Wu:
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders. CoRR abs/2007.06503 (2020)
[i42]
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Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe:
Mutual Information Matrix for Interpretable Fault Detection. CoRR abs/2007.10692 (2020)
[i41]
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  - journals/corr/abs-2010-09103
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Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe:
Unsupervised Foveal Vision Neural Networks with Top-Down Attention. CoRR abs/2010.09103 (2020)

2010 – 2019

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2019
[j254]
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José C. Príncipe:
IEEE Fellows - Class of 2019 [Society Briefs]. IEEE Comput. Intell. Mag. 14(2): 9-12 (2019)
[j253]
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Shujian Yu, José C. Príncipe:
Simple Stopping Criteria for Information Theoretic Feature Selection. Entropy 21(1): 99 (2019)
[j252]
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Isaac J. Sledge, José C. Príncipe:
Reduction of Markov Chains Using a Value-of-Information-Based Approach. Entropy 21(4): 349 (2019)
[j251]
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Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe:
Concept drift detection and adaptation with hierarchical hypothesis testing. J. Frankl. Inst. 356(5): 3187-3215 (2019)
[j250]
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Eleni I. Georga, José C. Príncipe, Dimitrios I. Fotiadis:
Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters. Medical Biol. Eng. Comput. 57(1): 27-46 (2019)
[j249]
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Shujian Yu, José C. Príncipe:
Understanding autoencoders with information theoretic concepts. Neural Networks 117: 104-123 (2019)
[j248]
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Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe:
Maximum Correntropy Criterion With Variable Center. IEEE Signal Process. Lett. 26(8): 1212-1216 (2019)
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Lujuan Dang, Badong Chen, Shiyuan Wang, Yuantao Gu, José C. Príncipe:
Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(11): 4265-4277 (2019)
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Isaac John Sledge, José C. Príncipe:
Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies. IEEE Trans. Games 11(2): 142-158 (2019)
[j245]
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Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe:
Quantized Minimum Error Entropy Criterion. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1370-1380 (2019)
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Shailaja Akella, José C. Príncipe:
Correntropy based Robust Decomposition of Neuromodulations. EMBC 2019: 5790-5793
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Isaac J. Sledge, José C. Príncipe:
A Differential-geometric Approach for Globally Solving a Non-convex, Discontinuous Depth Estimation Problem for Plenoptic Camera Images. ICASSP 2019: 2267-2271
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Isaac J. Sledge, José C. Príncipe:
An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains. ICASSP 2019: 3612-3616
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Mihael Cudic, José C. Príncipe:
Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification. IJCNN 2019: 1-6
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Xi Yu, Ying Ma, Stephanie Farrington, John Reed, Bing Ouyang, José C. Príncipe:
Fast segmentation for large and sparsely labeled coral images. IJCNN 2019: 1-6
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Carlos A. Loza, José C. Príncipe:
The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs. IWANN (1) 2019: 127-138
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Carlos A. Loza, José C. Príncipe:
Sparse Wave Packets Discriminate Motor Tasks in EEG-based BCIs. NER 2019: 639-642
[i40]
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Gabriel Nallathambi, José C. Príncipe:
Theory and Algorithms for Pulse Signal Processing. CoRR abs/1901.01140 (2019)
[i39]
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Isaac J. Sledge, José C. Príncipe:
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations. CoRR abs/1901.07484 (2019)
[i38]
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  - journals/corr/abs-1903-09266
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Isaac J. Sledge, José C. Príncipe:
Reduction of Markov Chains using a Value-of-Information-Based Approach. CoRR abs/1903.09266 (2019)
[i37]
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Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe:
Maximum Correntropy Criterion with Variable Center. CoRR abs/1904.06501 (2019)
[i36]
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  - journals/corr/abs-1904-06617
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Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Minimum Error Entropy Kalman Filter. CoRR abs/1904.06617 (2019)
[i35]
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  - journals/corr/abs-1907-06022
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Yantao Wei, Shujian Yu, José C. Príncipe:
Multiscale Principle of Relevant Information for Hyperspectral Image Classification. CoRR abs/1907.06022 (2019)
[i34]
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  - journals/corr/abs-1909-11396
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Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen:
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. CoRR abs/1909.11396 (2019)
[i33]
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  - journals/corr/abs-1911-03267
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Chi Ding, Zheng Cao, Matthew S. Emigh, José C. Príncipe, Bing Ouyang, Anni K. Vuorenkoski, Fraser R. Dalgleish, Brian Ramos, Yanjun Li:
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image. CoRR abs/1911.03267 (2019)
[i32]
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Kan Li, José C. Príncipe:
Functional Bayesian Filter. CoRR abs/1911.10606 (2019)
[i31]
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  - journals/corr/abs-1912-04530
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Kan Li, José C. Príncipe:
No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features. CoRR abs/1912.04530 (2019)
2018
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José C. Príncipe:
2018 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 13(1): 10-12 (2018)
[j243]
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Isaac J. Sledge, José C. Príncipe:
An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits. Entropy 20(3): 155 (2018)
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João P. F. Guimarães, Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, José C. Príncipe:
Complex correntropy function: Properties, and application to a channel equalization problem. Expert Syst. Appl. 107: 173-181 (2018)
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Mihael Cudic, Ryan Burt, Eder Santana, José C. Príncipe:
A flexible testing environment for visual question answering with performance evaluation. Neurocomputing 291: 128-135 (2018)
[j240]
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Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe:
Self-Organised direction aware data partitioning algorithm. Inf. Sci. 423: 80-95 (2018)
[j239]
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Xiaowei Gu, Plamen P. Angelov, José C. Príncipe:
A method for autonomous data partitioning. Inf. Sci. 460-461: 65-82 (2018)
[j238]
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Goktug T. Cinar, Pedro M. N. Sequeira, José C. Príncipe:
Hierarchical linear dynamical systems for unsupervised musical note recognition. J. Frankl. Inst. 355(4): 1638-1662 (2018)
[j237]
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Stefan Craciun, Robert Kirchgessner, Alan D. George, Herman Lam, José C. Príncipe:
A real-time, power-efficient architecture for mean-shift image segmentation. J. Real Time Image Process. 14(2): 379-394 (2018)
[j236]
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Plamen P. Angelov, Xiaowei Gu, José C. Príncipe:
A Generalized Methodology for Data Analysis. IEEE Trans. Cybern. 48(10): 2981-2993 (2018)
[j235]
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  - journals/telsys/LuanQZCP18
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Zhirong Luan, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe:
Fairness constrained diffusion adaptive power control for dense small cell network. Telecommun. Syst. 68(2): 373-384 (2018)
[j234]
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Plamen P. Angelov, Xiaowei Gu, José C. Príncipe:
Autonomous Learning Multimodel Systems From Data Streams. IEEE Trans. Fuzzy Syst. 26(4): 2213-2224 (2018)
[j233]
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Guibiao Xu, Bao-Gang Hu, José C. Príncipe:
Robust C-Loss Kernel Classifiers. IEEE Trans. Neural Networks Learn. Syst. 29(3): 510-522 (2018)
[j232]
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Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, José C. Príncipe:
Insights Into the Robustness of Minimum Error Entropy Estimation. IEEE Trans. Neural Networks Learn. Syst. 29(3): 731-737 (2018)
[j231]
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Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini:
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2038-2041 (2018)
[j230]
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Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe:
Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2080-2098 (2018)
[j229]
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Eder Santana, Matthew S. Emigh, Pablo Zegers, José C. Príncipe:
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3738-3746 (2018)
[c358]
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  - conf/embc/AkellaP18
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Shailaja Akella, José C. Príncipe:
Quantitative Analysis of a Marked Point Process based Sleep Spindle Detector (MPP-SSD). EMBC 2018: 1464-1467
[c357]
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Carlos A. Loza, José C. Príncipe:
The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG. EMBC 2018: 3112-3115
[c356]
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Xiang Zhang, José C. Príncipe, Yiwen Wang:
Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces. EMBC 2018: 6125-6128
[c355]
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Ying Ma, Bing Ouyang, Stephanie Farrington, Shujian Yu, John Reed, José C. Príncipe:
Joint Image Segmentation and Classification with Application to Cluttered Coral Images. GlobalSIP 2018: 365-369
[c354]
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Isaac J. Sledge, José C. Príncipe:
Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information. ICASSP 2018: 2416-2420
[c353]
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Rishabh Singh, Kan Li, José C. Príncipe:
Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda). ICASSP 2018: 2846-2850
[c352]
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Shujian Yu, Xiaoyang Wang, José C. Príncipe:
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. IJCAI 2018: 3033-3039
[c351]
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  - conf/ijcnn/BurtP18
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Ryan Burt, José C. Príncipe:
Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes. IJCNN 2018: 1-4
[c350]
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Kan Li, José C. Príncipe:
Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL). IJCNN 2018: 1-6
[c349]
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Ying Ma, José C. Príncipe:
Comparison of Static Neural Network with External Memory and RNNs for Deterministic Context Free Language Learning. IJCNN 2018: 1-7
[c348]
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Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Model. IJCNN 2018: 1-6
[c347]
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Rishabh Singh, José C. Príncipe:
Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition. IJCNN 2018: 1-7
[c346]
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Isaac J. Sledge, José C. Príncipe:
Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. IJCNN 2018: 1-10
[i30]
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Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Model. CoRR abs/1802.00174 (2018)
[i29]
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Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe:
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion. CoRR abs/1802.01518 (2018)
[i28]
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Shiyu Duan, Yunmei Chen, José C. Príncipe:
Learning Multiple Levels of Representations with Kernel Machines. CoRR abs/1802.03774 (2018)
[i27]
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Shujian Yu, José C. Príncipe:
Understanding Autoencoders with Information Theoretic Concepts. CoRR abs/1804.00057 (2018)
[i26]
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  - journals/corr/abs-1804-06537
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Shujian Yu, Robert Jenssen, José C. Príncipe:
Understanding Convolutional Neural Network Training with Information Theory. CoRR abs/1804.06537 (2018)
[i25]
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  - journals/corr/abs-1805-00327
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Ying Ma, José C. Príncipe:
A Taxonomy for Neural Memory Networks. CoRR abs/1805.00327 (2018)
[i24]
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  - journals/corr/abs-1806-10131
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Shujian Yu, Xiaoyang Wang, José C. Príncipe:
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. CoRR abs/1806.10131 (2018)
[i23]
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Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe:
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional. CoRR abs/1808.07912 (2018)
[i22]
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Shujian Yu, José C. Príncipe:
Simple stopping criteria for information theoretic feature selection. CoRR abs/1811.11971 (2018)
2017
[j228]
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Badong Chen, Xi Liu, Haiquan Zhao, José C. Príncipe:
Maximum correntropy Kalman filter. Autom. 76: 70-77 (2017)
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Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, Luiz Felipe Q. Silveira, José C. Príncipe:
Cyclostationary correntropy: Definition and applications. Expert Syst. Appl. 69: 110-117 (2017)
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Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, Luiz Felipe Q. Silveira, José C. Príncipe:
Corrigendum to "Cyclostationary Correntropy: Definition and applications" [Expert Systems with Applications 69 (2017) 110-117]. Expert Syst. Appl. 81: 472-473 (2017)
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Xiaowei Gu, Plamen P. Angelov, Dmitry Kangin, José C. Príncipe:
A new type of distance metric and its use for clustering. Evol. Syst. 8(3): 167-177 (2017)
[j224]
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Zheng Cao, José C. Príncipe, Bing Ouyang, Fraser R. Dalgleish, Anni K. Vuorenkoski, Brian Ramos, Gabriel Alsenas:
Marine animal classification using UMSLI in HBOI optical test facility. Multim. Tools Appl. 76(21): 23117-23138 (2017)
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Guibiao Xu, Zheng Cao, Bao-Gang Hu, José C. Príncipe:
Robust support vector machines based on the rescaled hinge loss function. Pattern Recognit. 63: 139-148 (2017)
[j222]
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João P. F. Guimarães, Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Allan de M. Martins, José C. Príncipe:
Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data. IEEE Signal Process. Lett. 24(1): 42-45 (2017)
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Fang Wang, Yiwen Wang, Kai Xu, Hongbao Li, Yuxi Liao, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. IEEE Trans. Neural Networks Learn. Syst. 28(4): 873-886 (2017)
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Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, José C. Príncipe:
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering. IEEE Trans. Signal Process. 65(11): 2888-2901 (2017)
[j219]
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Kan Li, José Carlos Príncipe:
Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 65(24): 6520-6535 (2017)
[c345]
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Luis Gonzalo Sánchez Giraldo, Erion Hasanbelliu, Murali Rao, José C. Príncipe:
Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy. CVPR 2017: 2454-2462
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Eleni I. Georga, José C. Príncipe, Evangelos C. Rizos, Dimitrios I. Fotiadis:
Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study. EMBC 2017: 2765-2768
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Carlos A. Loza, Jonathan B. Shute, José C. Príncipe, Michael S. Okun, Aysegul Gunduz:
A marked point process approach for identifying neural correlates of tics in Tourette Syndrome. EMBC 2017: 4375-4378
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Gabriel Nallathambi, José C. Príncipe:
Time based gain control for the analog to pulse converter. GlobalSIP 2017: 216-219
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Gabriel Nallathambi, Lei Rao, José C. Príncipe:
Hardware implementation of adder for pulse signal processing. GlobalSIP 2017: 1330-1334
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Catia S. Silva, José C. Príncipe, Andreas Keil:
A novel methodology to quantify dense EEG in cognitive tasks. ICASSP 2017: 2442-2446
[c339]
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Kan Li, José C. Príncipe:
Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network. ICASSP 2017: 2726-2730
[c338]
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Isaac J. Sledge, José C. Príncipe:
Balancing exploration and exploitation in reinforcement learning using a value of information criterion. ICASSP 2017: 2816-2820
[c337]
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Shujian Yu, Matthew Emigh, Eder Santana, José C. Príncipe:
Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives. ICASSP 2017: 6115-6119
[c336]
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Eder Santana, José C. Príncipe:
Perception Updating Networks: On architectural constraints for interpretable video generative models. ICLR (Workshop) 2017
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Plamen Angelov, Xiaowei Gu, José C. Príncipe:
Fast feedforward non-parametric deep learning network with automatic feature extraction. IJCNN 2017: 534-541
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Ryan Burt, Mihael Cudic, José C. Príncipe:
Fusing attention with visual question answering. IJCNN 2017: 949-953
[c333]
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Shengyang Luan, Tianshuang Qiu, José C. Príncipe:
Adaptive filtering based on extended kernel recursive maximum correntropy. IJCNN 2017: 2716-2722
[c332]
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Kan Li, José C. Príncipe:
Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. IJCNN 2017: 3733-3740
[c331]
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Kan Li, Ying Ma, José C. Príncipe:
Automatic plant identification using stem automata. MLSP 2017: 1-6
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Carlos A. Loza, José C. Príncipe:
Unsupervised robust detection of behavioral correlates in ECoG. NER 2017: 509-512
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Shanbao Tong, José C. Príncipe, Lei Ding, Paul Sajda:
Welcome message. NER 2017
[i21]
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Isaac J. Sledge, José C. Príncipe:
Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies. CoRR abs/1702.08628 (2017)
[i20]
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Zheng Cao, Shujian Yu, Bing Ouyang, Fraser R. Dalgleish, Anni K. Vuorenkoski, Gabriel Alsenas, José C. Príncipe:
Marine Animal Classification with Correntropy Loss Based Multi-view Learning. CoRR abs/1705.01217 (2017)
[i19]
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Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, José C. Príncipe:
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing. CoRR abs/1707.07821 (2017)
[i18]
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Jianji Wang, Nanning Zheng, Badong Chen, José C. Príncipe:
Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient. CoRR abs/1708.01541 (2017)
[i17]
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Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe:
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era. CoRR abs/1709.03541 (2017)
[i16]
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Isaac J. Sledge, José C. Príncipe:
Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits. CoRR abs/1710.02869 (2017)
[i15]
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Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe:
Quantized Minimum Error Entropy Criterion. CoRR abs/1710.04089 (2017)
[i14]
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Isaac J. Sledge, José C. Príncipe:
Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information. CoRR abs/1710.10381 (2017)
2016
[j218]
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Goktug T. Cinar, James Paul Sain, José C. Príncipe:
A Study of Musical Pitch Distance Using a Self-Organized Hierarchical Linear Dynamical System on Acoustic Signals. Comput. Music. J. 40(3): 68-82 (2016)
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Wentao Ma, Badong Chen, Haiquan Zhao, Guan Gui, Jiandong Duan, José C. Príncipe:
Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty. Circuits Syst. Signal Process. 35(3): 1077-1089 (2016)
[j216]
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Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, José C. Príncipe:
Self-organizing kernel adaptive filtering. EURASIP J. Adv. Signal Process. 2016: 106 (2016)
[j215]
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Badong Chen, Jianji Wang, Haiquan Zhao, José C. Príncipe:
Insights into Entropy as a Measure of Multivariate Variability. Entropy 18(5): 196 (2016)
[j214]
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Zhirong Luan, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe:
Correntropy induced joint power and admission control algorithm for dense small cell network. IET Commun. 10(16): 2154-2161 (2016)
[j213]
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Badong Chen, Junli Liang, Nanning Zheng, José C. Príncipe:
Kernel least mean square with adaptive kernel size. Neurocomputing 191: 95-106 (2016)
[j212]
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Liangjun Chen, Hua Qu, Ji-hong Zhao, Badong Chen, José Carlos Príncipe:
Efficient and robust deep learning with Correntropy-induced loss function. Neural Comput. Appl. 27(4): 1019-1031 (2016)
[j211]
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In Jun Park, Andrew M. Hein, Yuriy V. Bobkov, Matthew A. Reidenbach, Barry W. Ache, José C. Príncipe:
Neurally Encoding Time for Olfactory Navigation. PLoS Comput. Biol. 12(1) (2016)
[j210]
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David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe:
Fault detection via recurrence time statistics and one-class classification. Pattern Recognit. Lett. 84: 8-14 (2016)
[j209]
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Austin J. Brockmeier, José C. Príncipe:
Learning Recurrent Waveforms Within EEGs. IEEE Trans. Biomed. Eng. 63(1): 43-54 (2016)
[j208]
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Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces. IEEE Trans. Biomed. Eng. 63(8): 1728-1741 (2016)
[j207]
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Matthew Emigh, Evan G. Kriminger, Austin J. Brockmeier, José C. Príncipe, Panos M. Pardalos:
Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning. IEEE Trans. Comput. Intell. AI Games 8(1): 56-66 (2016)
[j206]
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Xinge You, Weigang Guo, Shujian Yu, Kan Li, José C. Príncipe, Dacheng Tao:
Kernel Learning for Dynamic Texture Synthesis. IEEE Trans. Image Process. 25(10): 4782-4795 (2016)
[j205]
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Kan Li, José C. Príncipe:
The Kernel Adaptive Autoregressive-Moving-Average Algorithm. IEEE Trans. Neural Networks Learn. Syst. 27(2): 334-346 (2016)
[j204]
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Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe:
Generalized Correntropy for Robust Adaptive Filtering. IEEE Trans. Signal Process. 64(13): 3376-3387 (2016)
[c328]
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Catia S. Silva, Mehrnaz Khodam Hazrati, Andreas Keil, José C. Príncipe:
Quantification of neural functional connectivity during an active avoidance task. EMBC 2016: 708-711
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Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe:
Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface. EMBC 2016: 3056-3059
[c326]
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Carlos A. Loza, José C. Príncipe:
Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach. EMBC 2016: 3720-3723
[c325]
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Eleni I. Georga, José C. Príncipe, Demosthenes Polyzos, Dimitrios I. Fotiadis:
Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters. EMBC 2016: 5897-5900
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Badong Chen, Zhengda Qin, Nanning Zheng, José C. Príncipe:
Kernel adaptive filtering subject to equality function constraints. EUSIPCO 2016: 1-5
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Carlos A. Loza, José C. Príncipe:
Transient model of EEG using Gini Index-based matching pursuit. ICASSP 2016: 724-728
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Ryan Burt, Eder Santana, José C. Príncipe, Nina Thigpen, Andreas Keil:
Predicting visual attention using gamma kernels. ICASSP 2016: 1606-1610
[c321]
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Zheng Cao, José C. Príncipe, Bing Ouyang:
Information point set registration for shape recognition. ICASSP 2016: 2603-2607
[c320]
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Zheng Cao, Shujian Yu, Guibiao Xu, Badong Chen, José C. Príncipe:
Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction. IJCNN 2016: 1403-1407
[c319]
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Guibiao Xu, Bao-Gang Hu, José C. Príncipe:
Robust bounded logistic regression in the class imbalance problem. IJCNN 2016: 1434-1441
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Carlos A. Loza, José C. Príncipe:
Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition. IJCNN 2016: 1723-1727
[c317]
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Eder Santana, Matthew Emigh, José C. Príncipe:
Information Theoretic-Learning auto-encoder. IJCNN 2016: 3296-3301
[c316]
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Bao Xi, Lei Sun, Badong Chen, Jianji Wang, Nanning Zheng, José C. Príncipe:
Density-dependent quantized kernel least mean square. IJCNN 2016: 3564-3569
[c315]
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  - conf/iscas/YuMCPZR16
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Qihang Yu, Yongqiang Ma, Badong Chen, José Carlos Príncipe, Nanning Zheng, Pengju Ren:
A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm. ISCAS 2016: 245-248
[c314]
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Carlos A. Loza, José C. Príncipe:
A robust maximum correntropy criterion for dictionary learning. MLSP 2016: 1-6
[c313]
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Plamen Angelov, Xiaowei Gu, Dmitry Kangin, José C. Príncipe:
Empirical data analysis: A new tool for data analytics. SMC 2016: 52-59
[i13]
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Eder Santana, Matthew Emigh, José C. Príncipe:
Information Theoretic-Learning Auto-Encoder. CoRR abs/1603.06653 (2016)
[i12]
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Eder Santana, Matthew Emigh, Pablo Zerges, José C. Príncipe:
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks. CoRR abs/1611.00050 (2016)
[i11]
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Gabriel Nallathambi, José C. Príncipe:
Signal Processing with Pulse Trains: An Algebraic Approach- Part I. CoRR abs/1611.03967 (2016)
[i10]
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Gabriel Nallathambi, José C. Príncipe:
Signal Processing with Pulse Trains: An Algebraic Approach- Part II. CoRR abs/1611.03970 (2016)
2015
[j203]
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Mehrnaz Khodam Hazrati, Vladimir Miskovic, José C. Príncipe, Andreas Keil:
Functional Connectivity in Frequency-Tagged Cortical Networks During Active Harm Avoidance. Brain Connect. 5(5): 292-302 (2015)
[j202]
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José C. Príncipe, Badong Chen:
Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]. IEEE Comput. Intell. Mag. 10(2): 68-77 (2015)
[j201]
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Jihye Bae, Luis G. Sánchez Giraldo, Eric A. Pohlmeyer, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe:
Kernel Temporal Differences for Neural Decoding. Comput. Intell. Neurosci. 2015: 481375:1-481375:17 (2015)
[j200]
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Andre A. Vidal, Vítor Grade Tavares, José C. Príncipe:
An Adaptive Signal Processing Framework for PV Power Maximization. Circuits Syst. Signal Process. 34(9): 2973-2992 (2015)
[j199]
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Badong Chen, Lei Xing, Zongze Wu, Junli Liang, José C. Príncipe, Nanning Zheng:
Smoothed least mean p-power error criterion for adaptive filtering. Digit. Signal Process. 40: 154-163 (2015)
[j198]
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Zongze Wu, Siyuan Peng, Wentao Ma, Badong Chen, José C. Príncipe:
Minimum Error Entropy Algorithms with Sparsity Penalty Constraints. Entropy 17(5): 3419-3437 (2015)
[j197]
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Yu Zhang, Badong Chen, Xi Liu, Zejian Yuan, José C. Príncipe:
Convergence of a Fixed-Point Minimum Error Entropy Algorithm. Entropy 17(8): 5549-5560 (2015)
[j196]
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Zongze Wu, Siyuan Peng, Badong Chen, Haiquan Zhao, José C. Príncipe:
Proportionate Minimum Error Entropy Algorithm for Sparse System Identification. Entropy 17(9): 5995-6006 (2015)
[j195]
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Aluisio I. Rêgo Fontes, Allan de M. Martins, Luiz Felipe Q. Silveira, José Carlos Príncipe:
Performance evaluation of the correntropy coefficient in automatic modulation classification. Expert Syst. Appl. 42(1): 1-8 (2015)
[j194]
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Vítor Grade Tavares, Cândido Duarte, Pedro Guedes de Oliveira, José Carlos Príncipe:
Filter & hold: a mixed continuous-/discrete-time technique for time-constant scaling. Int. J. Circuit Theory Appl. 43(12): 1832-1844 (2015)
[j193]
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Pablo A. Estévez, José C. Príncipe:
Special Issue on Advances in Self-organizing Maps. Neurocomputing 147: 1-2 (2015)
[j192]
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Rakesh Chalasani, José C. Príncipe:
Self-organizing maps with information theoretic learning. Neurocomputing 147: 3-14 (2015)
[j191]
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  - journals/sigpro/SilvaBSALNP15
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Cristiane Cristina Sousa da Silva, Allan Kardec Barros, Ewaldo Eder Carvalho Santana, Marcos A. F. de Araújo, Marcus V. de S. Lopes, João Viana da Fonseca Neto, José Carlos Príncipe:
An algorithm based on non-squared sum of the errors. Signal Process. 117: 188-191 (2015)
[j190]
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Badong Chen, Jianji Wang, Haiquan Zhao, Nanning Zheng, José C. Príncipe:
Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion. IEEE Signal Process. Lett. 22(10): 1723-1727 (2015)
[j189]
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Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge, Karthik Nagarajan, José C. Príncipe:
Downscaling Satellite-Based Soil Moisture in Heterogeneous Regions Using High-Resolution Remote Sensing Products and Information Theory: A Synthetic Study. IEEE Trans. Geosci. Remote. Sens. 53(1): 85-101 (2015)
[j188]
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Luis Gonzalo Sánchez Giraldo, Murali Rao, José C. Príncipe:
Measures of Entropy From Data Using Infinitely Divisible Kernels. IEEE Trans. Inf. Theory 61(1): 535-548 (2015)
[j187]
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Rakesh Chalasani, José C. Príncipe:
Context Dependent Encoding Using Convolutional Dynamic Networks. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1992-2004 (2015)
[c312]
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Hong Ji, Mehrnaz Khodam Hazrati, Badong Chen, Yonghong Liu, Andreas Keil, José C. Príncipe:
Long-term scalp epileptic EEG quantification with GMA dynamics. EMBC 2015: 2892-2895
[c311]
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Eder Santana, Karl P. Dockendorf, José C. Príncipe:
Learning joint features for color and depth images with Convolutional Neural Networks for object classification. ICASSP 2015: 1320-1323
[c310]
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Austin J. Brockmeier, José C. Príncipe:
Explicit versus implicit source estimation for blind multiple input single output system identification. ICASSP 2015: 2140-2144
[c309]
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Wentao Ma, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe:
Sparsity aware minimum error entropy algorithms. ICASSP 2015: 2179-2183
[c308]
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Weihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, José C. Príncipe:
An adaptive kernel width update method of correntropy for channel estimation. DSP 2015: 916-920
[c307]
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Zhongxiang Dai, José C. Príncipe, Anastasios Bezerianos, Nitish V. Thakor:
Cognitive Workload Discrimination in Flight Simulation Task Using a Generalized Measure of Association. ICONIP (3) 2015: 692-699
[c306]
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Zheng Cao, José C. Príncipe, Bing Ouyang:
Group feature selection in image classification with multiple kernel learning. IJCNN 2015: 1-5
[c305]
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Badong Chen, Ren Wang, Nanning Zheng, José C. Príncipe:
Exponential C-Loss for data fitting. IJCNN 2015: 1-6
[c304]
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Badong Chen, Ren Wang, Nanning Zheng, José C. Príncipe:
On initial convergence behavior of the kernel least mean square algorithm. IJCNN 2015: 1-5
[c303]
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Matthew Emigh, Evan Kriminger, José C. Príncipe:
Linear discriminant analysis with an information divergence criterion. IJCNN 2015: 1-6
[c302]
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Mehrnaz Khodam Hazrati, Andreas Keil, José C. Príncipe:
Directed generalized measure of association: A data driven approach towards causal inference. IJCNN 2015: 1-8
[c301]
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Yu Qi, Goktug T. Cinar, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Yueming Wang, José C. Príncipe:
Effective insect recognition using a stacked autoencoder with maximum correntropy criterion. IJCNN 2015: 1-7
[c300]
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Eder Santana, Goktug T. Cinar, José C. Príncipe:
Parallel flow in Deep Predictive Coding Networks. IJCNN 2015: 1-5
[c299]
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Eder Santana, José C. Príncipe:
Mixed generative and supervised learning modes in Deep Predictive Coding Networks. IJCNN 2015: 1-4
[c298]
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Ren Wang, Badong Chen, Nanning Zheng, José C. Príncipe:
A variable step-size adaptive algorithm under maximum correntropy criterion. IJCNN 2015: 1-5
[c297]
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Weihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, José C. Príncipe:
A switch kernel width method of correntropy for channel estimation. IJCNN 2015: 1-7
[c296]
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Matthew Emigh, Evan Kriminger, José Carlos Príncipe:
A model based approach to exploration of continuous-state MDPs using Divergence-to-Go. MLSP 2015: 1-6
[c295]
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Gabriel Nallathambi, José C. Príncipe, Neil R. Euliano:
Pulse based signal processing for systolic peak recognition. MLSP 2015: 1-6
[c294]
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Kan Li, Salvador Dura-Bernal, Joseph T. Francis, William W. Lytton, José C. Príncipe:
Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex. NER 2015: 478-481
[p2]
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Badong Chen, Weifeng Liu, José C. Príncipe:
Theoretical Methods in Machine Learning. Handbook of Computational Intelligence 2015: 523-543
[i9]
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Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe:
Generalized Correntropy for Robust Adaptive Filtering. CoRR abs/1504.02931 (2015)
[i8]
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Badong Chen, Xi Liu, Haiquan Zhao, José C. Príncipe:
Maximum Correntropy Kalman Filter. CoRR abs/1509.04580 (2015)
[i7]
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Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, José C. Príncipe, Pablo Zegers:
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. CoRR abs/1509.07823 (2015)
2014
[j186]
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António E. B. Ruano, Shuzhi Sam Ge, Thierry-Marie Guerra, Frank L. Lewis, José C. Príncipe, Matjaz Colnaric:
Computational intelligence in control. Annu. Rev. Control. 38(2): 233-242 (2014)
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José C. Príncipe:
2014 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 9(1): 4-9 (2014)
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Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, José C. Príncipe, Pablo Zegers:
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. IEEE Comput. Intell. Mag. 9(3): 27-39 (2014)
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Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe:
A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. 2014: 870160:1-870160:16 (2014)
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Badong Chen, Guangmin Wang, Nanning Zheng, José C. Príncipe:
A Note on the W-S Lower Bound of the MEE Estimation. Entropy 16(2): 814-824 (2014)
[j181]
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Badong Chen, Guangmin Wang, Nanning Zheng, José C. Príncipe:
An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion. Entropy 16(4): 2223-2233 (2014)
[j180]
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Zhaohui Wu, Gang Pan, José Carlos Príncipe, Andrzej Cichocki:
Cyborg Intelligence: Towards Bio-Machine Intelligent Systems. IEEE Intell. Syst. 29(6): 2-4 (2014)
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Sohan Seth, José C. Príncipe:
Learning dependence from samples. Int. J. Bioinform. Res. Appl. 10(1): 43-58 (2014)
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Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe:
Neural Decoding with Kernel-Based Metric Learning. Neural Comput. 26(6): 1080-1107 (2014)
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Mujahid N. Syed, Panos M. Pardalos, José C. Príncipe:
On the optimization properties of the correntropic loss function in data analysis. Optim. Lett. 8(3): 823-839 (2014)
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Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José Carlos Príncipe:
Information Theoretic Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2436-2451 (2014)
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José C. Príncipe, Rakesh Chalasani:
Cognitive Architectures for Sensory Processing. Proc. IEEE 102(4): 514-525 (2014)
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José C. Príncipe:
On the Importance of Synergisms Between Neuroscience and Engineering [Further Thoughts]. Proc. IEEE 102(4): 526-527 (2014)
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Abhishek Singh, Rosha Pokharel, José C. Príncipe:
The C-loss function for pattern classification. Pattern Recognit. 47(1): 441-453 (2014)
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Badong Chen, Lei Xing, Junli Liang, Nanning Zheng, José C. Príncipe:
Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion. IEEE Signal Process. Lett. 21(7): 880-884 (2014)
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Gabriel Nallathambi, José C. Príncipe:
Integrate and Fire Pulse Train Automaton for QRS detection. IEEE Trans. Biomed. Eng. 61(2): 317-326 (2014)
[j170]
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Pingping Zhu, Badong Chen, José C. Príncipe:
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS. IEEE Trans. Signal Process. 62(1): 141-155 (2014)
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Eder Santana, Austin J. Brockmeier, José C. Príncipe:
Joint optimization of algorithmic suites for EEG analysis. EMBC 2014: 2997-3000
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Xiaowei Ren, Pengju Ren, Badong Chen, José C. Príncipe, Nanning Zheng:
A reconfigurable parallel acceleration platform for evaluation of permutation entropy. EMBC 2014: 5735-5738
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Gavin R. Philips, Mehrnaz Kh. Hazrati, Janis J. Daly, José C. Príncipe:
Addressing low frequency movement artifacts in EEG signal recorded during center-out reaching tasks. EMBC 2014: 6497-6500
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Carlos A. Loza, Gavin R. Philips, Mehrnaz Kh. Hazrati, Janis J. Daly, José C. Príncipe:
Classification of hand movement direction based on EEG high-gamma activity. EMBC 2014: 6509-6512
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Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, José Carlos Príncipe:
Functional relevant multichannel kernel adaptive filter for human activity analysis. ICASSP 2014: 4369-4373
[c288]
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Austin J. Brockmeier, Eder Santana, Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
Projentropy: Using entropy to optimize spatial projections. ICASSP 2014: 4538-4542
[c287]
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Badong Chen, Nanning Zheng, José C. Príncipe:
Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration. ICASSP 2014: 5257-5261
[c286]
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Badong Chen, Xiaohan Yang, Hua Qu, Ji-hong Zhao, Nanning Zheng, José C. Príncipe:
Feature selection based on survival Cauchy-Schwartz mutual information. ICASSP 2014: 6711-6715
[c285]
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Goktug T. Cinar, José C. Príncipe:
Clustering of time series using a hierarchical linear dynamical system. ICASSP 2014: 6741-6745
[c284]
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Rakesh Chalasani, José C. Príncipe:
Dynamic sparse coding with smoothing proximal gradient method. ICASSP 2014: 7188-7192
[c283]
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Hong Ji, Badong Chen, Zejian Yuan, Nanning Zheng, Andreas Keil, José C. Príncipe:
Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square. ICONIP (2) 2014: 68-75
[c282]
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Guibiao Xu, Bao-Gang Hu, José C. Príncipe:
An asymmetric stagewise least square loss function for imbalanced classification. IJCNN 2014: 1107-1114
[c281]
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Badong Chen, Xiaohan Yang, Hong Ji, Hua Qu, Nanning Zheng, José C. Príncipe:
Trimmed affine projection algorithms. IJCNN 2014: 1923-1928
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Ryan Burt, Goktug T. Cinar, José C. Príncipe:
Pitch estimation using non-negative matrix factorization. IJCNN 2014: 2058-2062
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Goktug T. Cinar, Carlos A. Loza, José C. Príncipe:
Hierarchical Linear Dynamical Systems: A new model for clustering of time series. IJCNN 2014: 2464-2470
[c278]
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Jihye Bae, Luis G. Sánchez Giraldo, José C. Príncipe, Joseph T. Francis:
Correntropy kernel temporal differences for reinforcement learning brain machine interfaces. IJCNN 2014: 2713-2717
[c277]
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Rosha Pokharel, Sohan Seth, José C. Príncipe:
Quantized mixture kernel least mean square. IJCNN 2014: 4168-4174
[c276]
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Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
Rate-Distortion Auto-Encoders. ICLR (Workshop Poster) 2014
[i6]
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Badong Chen, Junli Liang, Nanning Zheng, José C. Príncipe:
Kernel Least Mean Square with Adaptive Kernel Size. CoRR abs/1401.5899 (2014)
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Badong Chen, Guangmin Wang, Nanning Zheng, José C. Príncipe:
An Extended Result on the Optimal Estimation under Minimum Error Entropy Criterion. CoRR abs/1401.6294 (2014)
[i4]
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Pavlos Protopapas, Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José C. Príncipe:
A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set. CoRR abs/1412.1840 (2014)
2013
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Alexandre R. F. Carvalho, João Manuel R. S. Tavares, José C. Príncipe:
A Novel Nonparametric Distance Estimator for Densities with Error Bounds. Entropy 15(5): 1609-1623 (2013)
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Zhaohui Wu, Raj Reddy, Gang Pan, Nenggan Zheng, Paul F. M. J. Verschure, Qiaosheng Zhang, Xiaoxiang Zheng, José C. Príncipe, Alex Kreilinger, Martin Rohm, Vera Kaiser, Robert Leeb, Rüdiger Rupp, Gernot R. Müller-Putz:
The Convergence of Machine and Biological Intelligence. IEEE Intell. Syst. 28(5): 28-43 (2013)
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Badong Chen, Zejian Yuan, Nanning Zheng, José C. Príncipe:
Kernel minimum error entropy algorithm. Neurocomputing 121: 160-169 (2013)
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  - journals/sigpro/ZhaoCZP13
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Songlin Zhao, Badong Chen, Pingping Zhu, José C. Príncipe:
Fixed budget quantized kernel least-mean-square algorithm. Signal Process. 93(9): 2759-2770 (2013)
[j165]
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Mujahid N. Syed, Panos M. Pardalos, José C. Príncipe:
Invexity of the Minimum Error Entropy Criterion. IEEE Signal Process. Lett. 20(12): 1159-1162 (2013)
[j164]
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Klaus-Robert Müller, Tülay Adali, Kenji Fukumizu, José C. Príncipe, Sergios Theodoridis:
Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. 30(4): 14-15 (2013)
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Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe:
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial. IEEE Signal Process. Mag. 30(4): 149-160 (2013)
[j162]
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Damien Coyle, José C. Príncipe, Fabien Lotte, Anton Nijholt:
Guest Editorial: Brain/neuronal - Computer game interfaces and interaction. IEEE Trans. Comput. Intell. AI Games 5(2): 77-81 (2013)
[j161]
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Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe:
Quantized Kernel Recursive Least Squares Algorithm. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1484-1491 (2013)
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Stefan Craciun, Gongyu Wang, Alan D. George, Herman Lam, José C. Príncipe:
A scalable RC architecture for mean-shift clustering. ASAP 2013: 370-374
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Bilal H. Fadlallah, Andreas Keil, José C. Príncipe:
Functional dependence in the human brain: A graph theoretical analysis. EMBC 2013: 2948-2951
[c273]
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Jihye Bae, Luis Gonzalo Sánchez Giraldo, Eric A. Pohlmeyer, Justin C. Sanchez, José C. Príncipe:
A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces. EMBC 2013: 5402-5405
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Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe:
Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC 2013: 5586-5589
[c271]
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Lu Wan, Bilal H. Fadlallah, Andreas Keil, José C. Príncipe:
Quantifying cognitive state from EEG using phase synchrony. EMBC 2013: 5809-5812
[c270]
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  - conf/eurocon/VidalTP13
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Andre A. Vidal, Vítor Grade Tavares, José C. Príncipe:
An adaptive duty-cycle methodology for PV power maximization using a single variable. EUROCON 2013: 795-802
[c269]
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Pingping Zhu, José C. Príncipe:
Kernel recurrent system trained by real-time recurrent learning algorithm. ICASSP 2013: 3572-3576
[c268]
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Austin J. Brockmeier, José C. Príncipe, Anh Huy Phan, Andrzej Cichocki:
A greedy algorithm for model selection of tensor decompositions. ICASSP 2013: 6113-6117
[c267]
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Rakesh Chalasani, José C. Príncipe, Naveen Ramakrishnan:
A fast proximal method for convolutional sparse coding. IJCNN 2013: 1-5
[c266]
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Badong Chen, Nanning Zheng, José C. Príncipe:
Survival kernel with application to kernel adaptive filtering. IJCNN 2013: 1-6
[c265]
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Bilal Fadlallah, José C. Príncipe:
Diffusion least-mean squares over adaptive networks with dynamic topologies. IJCNN 2013: 1-6
[c264]
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Jongmin Lee, Pingping Zhu, José C. Príncipe:
A parameter-free kernel design based on cumulative distribution function for correntropy. IJCNN 2013: 1-5
[c263]
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Kan Li, Badong Chen, José C. Príncipe:
Kernel adaptive filtering with confidence intervals. IJCNN 2013: 1-6
[c262]
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  - conf/ijcnn/PokharelSP13
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Rosha Pokharel, Sohan Seth, José C. Príncipe:
Mixture kernel least mean square. IJCNN 2013: 1-7
[c261]
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Pingping Zhu, José C. Príncipe:
Analysis on extended kernel recursive least squares algorithm. IJCNN 2013: 1-4
[c260]
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  - journals/corr/abs-1301-3541
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Rakesh Chalasani, José C. Príncipe:
Deep Predictive Coding Networks. ICLR (Workshop Poster) 2013
[c259]
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Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
Information Theoretic Learning with Infinitely Divisible Kernels. ICLR 2013
[e4]
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  - conf/wsom/2012
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Pablo A. Estévez, José Carlos Príncipe, Pablo Zegers:
Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012, Santiago, Chile, December 12-14, 2012, Proceedings. Advances in Intelligent Systems and Computing 198, Springer 2013, ISBN 978-3-642-35229-4 [contents]
2012
[j160]
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Hans G. Feichtinger, José C. Príncipe, José Luis Romero, Alexander Singh-Alvarado, Gino Angelo M. Velasco:
Approximate reconstruction of bandlimited functions for the integrate and fire sampler. Adv. Comput. Math. 36(1): 67-78 (2012)
[j159]
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Badong Chen, José C. Príncipe:
Some Further Results on the Minimum Error Entropy Estimation. Entropy 14(5): 966-977 (2012)
[j158]
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Badong Chen, José C. Príncipe:
On the Smoothed Minimum Error Entropy Criterion. Entropy 14(11): 2311-2323 (2012)
[j157]
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  - journals/ijon/Daza-SantacolomaCP12
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Genaro Daza-Santacoloma, Germán Castellanos-Domínguez, José C. Príncipe:
Locally linear embedding based on correntropy measure for visualization and classification. Neurocomputing 80: 19-30 (2012)
[j156]
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Badong Chen, José C. Príncipe, Jinchun Hu, Yu Zhu:
Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model. J. Circuits Syst. Comput. 21(1) (2012)
[j155]
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  - journals/neco/SethP12
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Sohan Seth, José C. Príncipe:
Conditional Association. Neural Comput. 24(7): 1882-1905 (2012)
[j154]
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  - journals/neco/ParkSRP12
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Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe:
Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences. Neural Comput. 24(8): 2223-2250 (2012)
[j153]
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Pingping Zhu, Badong Chen, José C. Príncipe:
A novel extended kernel recursive least squares algorithm. Neural Networks 32: 349-357 (2012)
[j152]
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  - journals/sigpro/SantanaPSB12
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Eder Santana, José C. Príncipe, Ewaldo Eder Carvalho Santana, Allan Kardec Barros:
Extraction of signals with higher order temporal structure using Correntropy. Signal Process. 92(8): 1844-1852 (2012)
[j151]
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Badong Chen, Songlin Zhao, Pingping Zhu, José C. Príncipe:
Mean square convergence analysis for kernel least mean square algorithm. Signal Process. 92(11): 2624-2632 (2012)
[j150]
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Badong Chen, José Carlos Príncipe:
Maximum Correntropy Estimation Is a Smoothed MAP Estimation. IEEE Signal Process. Lett. 19(8): 491-494 (2012)
[j149]
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Alle-Jan van der Veen, José C. Príncipe:
"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 3 [In the Spotlight]. IEEE Signal Process. Mag. 29(1): 184 (2012)
[j148]
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Alexander Singh-Alvarado, Choudur Lakshminarayan, José Carlos Príncipe:
Time-Based Compression and Classification of Heartbeats. IEEE Trans. Biomed. Eng. 59(6): 1641-1648 (2012)
[j147]
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Bilal Fadlallah, Sohan Seth, Andreas Keil, José Carlos Príncipe:
Quantifying Cognitive State From EEG Using Dependence Measures. IEEE Trans. Biomed. Eng. 59(10): 2773-2781 (2012)
[j146]
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  - journals/tnn/ChenZZP12
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Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe:
Quantized Kernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 23(1): 22-32 (2012)
[j145]
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  - journals/tnn/SethP12
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Sohan Seth, José Carlos Príncipe:
Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence. IEEE Trans. Neural Networks Learn. Syst. 23(1): 47-59 (2012)
[j144]
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Badong Chen, Pingping Zhu, José Carlos Príncipe:
Survival Information Potential: A New Criterion for Adaptive System Training. IEEE Trans. Signal Process. 60(3): 1184-1194 (2012)
[j143]
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Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, Pablo Zegers, José Carlos Príncipe:
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves. IEEE Trans. Signal Process. 60(10): 5135-5145 (2012)
[c258]
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  - conf/biostec/Principe12
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José C. Príncipe:
Advances in Brain Machine Interfaces. BIOSTEC 2012: 5
[c257]
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Jongmin Lee, José C. Príncipe:
Correntropy-based spectrum sensing for wireless microphones in man-made noise environments. CIP 2012: 1-6
[c256]
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  - conf/embc/LiCFSP12
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Lin Li, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe:
Decoding stimuli from multi-source neural responses. EMBC 2012: 1331-1334
[c255]
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  - conf/embc/BrockmeierHFLP12
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Austin J. Brockmeier, Mehrnaz Kh. Hazrati, Walter J. Freeman, Lin Li, José C. Príncipe:
Locating spatial patterns of waveforms during sensory perception in scalp EEG. EMBC 2012: 2531-2534
[c254]
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  - conf/embc/Liao0ZP12
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Yuxi Liao, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe:
Mutual information analysis on non-stationary neuron importance for brain machine interfaces. EMBC 2012: 2748-2751
[c253]
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Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe:
Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC 2012: 2957-2960
[c252]
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  - conf/embc/FadlallahBSLKP12
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Bilal H. Fadlallah, Austin J. Brockmeier, Sohan Seth, Lin Li, Andreas Keil, José C. Príncipe:
An Association Framework to Analyze Dependence Structure in Time Series. EMBC 2012: 6176-6179
[c251]
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David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
One-class classifier based on extreme value statistics. ESANN 2012
[c250]
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Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan:
Mixture of designer experts for multi-regime detection in streaming data. EUSIPCO 2012: 410-414
[c249]
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Bilal Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe:
Analyzing dependence structure of the human brain in response to visual stimuli. ICASSP 2012: 745-748
[c248]
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  - conf/icassp/KampaPPR12
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Kittipat Kampa, José C. Príncipe, Duangmanee Putthividhya, Anand Rangarajan:
Data-driven tree-structured Bayesian network for image segmentation. ICASSP 2012: 2213-2216
[c247]
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José C. Príncipe:
Measure of Statistical Dependence. ICPRAM (1) 2012
[c246]
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  - conf/ijcnn/ChalasaniCP12
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Rakesh Chalasani, Goktug T. Cinar, José C. Príncipe:
Sequential causal estimation and learning from time-varying images. IJCNN 2012: 1-5
[c245]
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Badong Chen, Songlin Zhao, Sohan Seth, José C. Príncipe:
Online efficient learning with quantized KLMS and L1 regularization. IJCNN 2012: 1-6
[c244]
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Goktug T. Cinar, José C. Príncipe:
Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size. IJCNN 2012: 1-6
[c243]
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  - conf/ijcnn/HasanbelliuKPC12
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Erion Hasanbelliu, Kittipat Kampa, José C. Príncipe, James Tory Cobb:
Online learning using a Bayesian surprise metric. IJCNN 2012: 1-8
[c242]
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Evan Kriminger, José C. Príncipe, Choudur Lakshminarayan:
Nearest Neighbor Distributions for imbalanced classification. IJCNN 2012: 1-5
[c241]
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Rosha Pokharel, José C. Príncipe:
Kernel classifier with Correntropy loss. IJCNN 2012: 1-6
[c240]
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  - conf/ijcnn/ZhaoCP12
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Songlin Zhao, Badong Chen, José C. Príncipe:
An adaptive kernel width update for correntropy. IJCNN 2012: 1-5
[c239]
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  - conf/mlsp/ChalasaniP12
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Rakesh Chalasani, José C. Príncipe:
Temporal context in object recognition. MLSP 2012: 1-6
[i3]
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  - journals/corr/abs-1211-2459
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Luis Gonzalo Sánchez Giraldo, Murali Rao, José C. Príncipe:
Measures of Entropy from Data Using Infinitely Divisible Kernels. CoRR abs/1211.2459 (2012)
[i2]
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  - journals/corr/abs-1212-2398
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Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, Pablo Zegers, José C. Príncipe:
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves. CoRR abs/1212.2398 (2012)
2011
[j142]
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Badong Chen, Yu Zhu, Jinchun Hu, José C. Príncipe:
Δ-Entropy: Definition, properties and applications in system identification with quantized data. Inf. Sci. 181(7): 1384-1402 (2011)
[j141]
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  - journals/sigpro/RaoSXCTP11
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Murali Rao, Sohan Seth, Jian-Wu Xu, Yunmei Chen, Hemant D. Tagare, José C. Príncipe:
A test of independence based on a generalized correlation function. Signal Process. 91(1): 15-27 (2011)
[j140]
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  - journals/sigpro/SinghP11
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Abhishek Singh, José C. Príncipe:
Information theoretic learning with adaptive kernels. Signal Process. 91(2): 203-213 (2011)
[j139]
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  - journals/spl/HuijseEZPP11
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Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José Carlos Príncipe, Pavlos Protopapas:
Period Estimation in Astronomical Time Series Using Slotted Correntropy. IEEE Signal Process. Lett. 18(6): 371-374 (2011)
[j138]
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  - journals/spm/VeenP11
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Alle-Jan van der Veen, José C. Príncipe:
"Trends" Expert Overview Sessions Revived at ICASSP 2011 [In the Spotlight]. IEEE Signal Process. Mag. 28(5): 160 (2011)
[j137]
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Alle-Jan van der Veen, José C. Príncipe:
"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 2. IEEE Signal Process. Mag. 28(6): 200 (2011)
[j136]
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  - journals/tbe/JarchiSPM11
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Delaram Jarchi, Saeid Sanei, José C. Príncipe, Bahador Makkiabadi:
A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents. IEEE Trans. Biomed. Eng. 58(1): 132-143 (2011)
[j135]
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  - journals/tnn/XiaJHPM11
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Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic:
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Trans. Neural Networks 22(1): 74-83 (2011)
[j134]
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Sohan Seth, Murali Rao, Il Park, José C. Príncipe:
A Unified Framework for Quadratic Measures of Independence. IEEE Trans. Signal Process. 59(8): 3624-3635 (2011)
[c238]
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Alexander Singh-Alvarado, José C. Príncipe:
A real-time reconstruction algorithm for the integrate and fire sampler. ACSCC 2011: 1093-1097
[c237]
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Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe:
Optimizing microstimulation using a reinforcement learning framework. EMBC 2011: 1069-1072
[c236]
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Bilal H. Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe:
Robust EEG preprocessing for dependence-based condition discrimination. EMBC 2011: 1407-1410
[c235]
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Stefan Craciun, Austin J. Brockmeier, Alan D. George, Herman Lam, José C. Príncipe:
An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture. EMBC 2011: 4621-4624
[c234]
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Jihye Bae, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe:
Reinforcement learning via kernel temporal difference. EMBC 2011: 5662-5665
[c233]
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Verónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José C. Príncipe:
Statistical dependence measure for feature selection in microarray datasets. ESANN 2011
[c232]
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Thomas Villmann, José C. Príncipe, Andrzej Cichocki:
Information theory related learning. ESANN 2011
[c231]
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Alexander Singh-Alvarado, José Carlos Príncipe:
From compressive to adaptive sampling of neural and ECG recordings. ICASSP 2011: 633-636
[c230]
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  - conf/icassp/ParkSRP11
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Il Park, Sohan Seth, Murali Rao, José Carlos Príncipe:
Estimation of symmetric chi-square divergence for point processes. ICASSP 2011: 2016-2019
[c229]
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Sohan Seth, Austin J. Brockmeier, José Carlos Príncipe:
A metric approach toward point process divergence. ICASSP 2011: 2104-2107
[c228]
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Luis Gonzalo Sánchez Giraldo, José Carlos Príncipe:
An efficient rank-deficient computation of the Principle of Relevant Information. ICASSP 2011: 2176-2179
[c227]
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Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan:
Modified embedding for multi-regime detection in nonstationary streaming data. ICASSP 2011: 2256-2259
[c226]
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Goktug T. Cinar, José C. Príncipe:
Adaptive background estimation using an information theoretic cost for hidden state estimation. IJCNN 2011: 489-494
[c225]
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Songlin Zhao, José Carlos Príncipe:
A nonparametric information theoretic approach for change detection in time series. IJCNN 2011: 1281-1284
[c224]
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Pingping Zhu, Badong Chen, José C. Príncipe:
Extended Kalman filter using a kernel recursive least squares observer. IJCNN 2011: 1402-1408
[c223]
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Rakesh Chalasani, José C. Príncipe:
Sparse analog associative memory via L1-regularization and thresholding. IJCNN 2011: 1994-1999
[c222]
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Songlin Zhao, Badong Chen, José C. Príncipe:
Kernel adaptive filtering with maximum correntropy criterion. IJCNN 2011: 2012-2017
[c221]
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Kittipat Kampa, Erion Hasanbelliu, José C. Príncipe:
Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians. IJCNN 2011: 2578-2585
[c220]
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Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe:
Evaluating dependence in spike train metric spaces. IJCNN 2011: 2645-2652
[c219]
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Alexander Singh-Alvarado, Manu Rastogi, John G. Harris, José C. Príncipe:
The integrate-and-fire sampler: A special type of asynchronous Σ - Δ modulator. ISCAS 2011: 2031-2034
[c218]
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Manu Rastogi, Alexander Singh-Alvarado, John G. Harris, José C. Príncipe:
Integrate and fire circuit as an ADC replacement. ISCAS 2011: 2421-2424
[c217]
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Jihye Bae, Luis G. Sánchez Giraldo, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe:
Stochastic kernel temporal difference for reinforcement learning. MLSP 2011: 1-6
[c216]
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Austin J. Brockmeier, José C. Príncipe, Babak Mahmoudi, Justin C. Sanchez:
Efficient temporal decomposition of local field potentials. MLSP 2011: 1-6
[c215]
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Luis G. Sánchez Giraldo, José C. Príncipe:
A reproducing kernel Hilbert space formulation of the principle of relevant information. MLSP 2011: 1-6
[c214]
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Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence. MLSP 2011: 1-6
[c213]
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Kittipat Kampa, Duangmanee Putthividhya, José C. Príncipe:
Irregular Tree-Structured Bayesian Network for image segmentation. MLSP 2011: 1-6
[c212]
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Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe:
An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP 2011: 1-6
[c211]
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  - conf/mlsp/MishraPEP11
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Bibhu Prasad Mishra, José C. Príncipe, Pablo A. Estévez, Pavlos Protopapas:
Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy. MLSP 2011: 1-6
[c210]
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James Tory Cobb, José C. Príncipe:
Autocorrelation features for synthetic aperture sonar image seabed segmentation. SMC 2011: 3341-3346
[i1]
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Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José Carlos Príncipe, Pavlos Protopapas:
Period Estimation in Astronomical Time Series Using Slotted Correntropy. CoRR abs/1112.2962 (2011)
2010
[j133]
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António R. C. Paiva, Il Park, José C. Príncipe:
A comparison of binless spike train measures. Neural Comput. Appl. 19(3): 405-419 (2010)
[j132]
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Robert Jenssen, José Carlos Príncipe:
Information theoretic clustering. Scholarpedia 5(10): 5189 (2010)
[j131]
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  - journals/tcom/DuanQYSP10
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Dongliang Duan, Fengzhong Qu, Liuqing Yang, Ananthram Swami, José C. Príncipe:
Modulation Selection from a Battery Power Efficiency Perspective. IEEE Trans. Commun. 58(7): 1907-1911 (2010)
[j130]
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Dongliang Duan, Liuqing Yang, José C. Príncipe:
Cooperative diversity of spectrum sensing for cognitive radio systems. IEEE Trans. Signal Process. 58(6): 3218-3227 (2010)
[j129]
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  - journals/tsp/SantanaPSFB10
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Eder Santana, José C. Príncipe, Ewaldo Eder Carvalho Santana, Raimundo Carlos Silvério Freire, Allan Kardec Barros:
Extraction of signals with specific temporal structure using kernel methods. IEEE Trans. Signal Process. 58(10): 5142-5150 (2010)
[c209]
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  - conf/fuzzIEEE/Alvarez-EstevezPM10
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Diego Álvarez-Estévez, José Carlos Príncipe, Vicente Moret-Bonillo:
Information Theoretic fuzzy modeling for regression. FUZZ-IEEE 2010: 1-5
[c208]
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Diego Álvarez-Estévez, José Carlos Príncipe, Vicente Moret-Bonillo:
Neuro-Fuzzy Classification Using the Correntropy Criterion: Application to Sleep Depth Estimation. IC-AI 2010: 9-15
[c207]
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  - conf/icann/VeraEP10
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Pablo A. Vera, Pablo A. Estévez, José Carlos Príncipe:
Linear Projection Method Based on Information Theoretic Learning. ICANN (3) 2010: 178-187
[c206]
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Steven Van Vaerenbergh, Ignacio Santamaría, Weifeng Liu, José C. Príncipe:
Fixed-budget kernel recursive least-squares. ICASSP 2010: 1882-1885
[c205]
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  - conf/icassp/SinghP10
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Abhishek Singh, José C. Príncipe:
Kernel width adaptation in information theoretic cost functions. ICASSP 2010: 2062-2065
[c204]
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Sohan Seth, José C. Príncipe:
A conditional distribution function based approach to design nonparametric tests of independence and conditional independence. ICASSP 2010: 2066-2069
[c203]
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  - conf/icassp/SinghP10a
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Abhishek Singh, José C. Príncipe:
A closed form recursive solution for Maximum Correntropy training. ICASSP 2010: 2070-2073
[c202]
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Kittipat Kampa, José C. Príncipe, K. Clint Slatton:
Dynamic factor graphs: A novel framework for multiple features data fusion. ICASSP 2010: 2106-2109
[c201]
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Il Park, José C. Príncipe:
Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures. ICASSP 2010: 5442-5445
[c200]
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Sohan Seth, José C. Príncipe:
Variable Selection: A Statistical Dependence Perspective. ICMLA 2010: 931-936
[c199]
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Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
A Recursive Online Kernel PCA Algorithm. ICPR 2010: 169-172
[c198]
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Sohan Seth, José C. Príncipe:
A Test of Granger Non-causality Based on Nonparametric Conditional Independence. ICPR 2010: 2620-2623
[c197]
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  - conf/ijcnn/BessaMPBW10
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Ricardo J. Bessa, Vladimiro Miranda, José C. Príncipe, Audun Botterud, Jun Wang:
Information theoretic learning applied to wind power modeling. IJCNN 2010: 1-8
[c196]
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  - conf/ijcnn/ChalasaniP10
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Rakesh Chalasani, José C. Príncipe:
Self organizing maps with the correntropy induced metric. IJCNN 2010: 1-6
[c195]
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  - conf/ijcnn/EstevezHZPP10
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Pablo A. Estévez, Pablo Huijse, Pablo Zegers, José C. Príncipe, Pavlos Protopapas:
Period detection in light curves from astronomical objects using correntropy. IJCNN 2010: 1-7
[c194]
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  - conf/ijcnn/KangPP10
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Daesung Kang, Jooyoung Park, José C. Príncipe:
Binary classification based on SVDD projection and nearest neighbors. IJCNN 2010: 1-6
[c193]
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  - conf/ijcnn/SinghP10
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Abhishek Singh, José C. Príncipe:
A loss function for classification based on a robust similarity metric. IJCNN 2010: 1-6
[c192]
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Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe:
A novel family of non-parametric cumulative based divergences for point processes. NIPS 2010: 2119-2127
[c191]
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Stefan Craciun, Alan D. George, Herman Lam, José C. Príncipe:
A parallel hardware architecture for information-theoretic adaptive filtering. HPRCTA@SC 2010: 1-10
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  - books/sp/10/Principe10
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José C. Príncipe:
Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces. Information Theoretic Learning 2010: 1-45
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José C. Príncipe:
Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives. Springer 2010, ISBN 978-1-4419-1569-6 [contents]

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
[j128]
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Karl P. Dockendorf, Il Park, Ping He, José C. Príncipe, Thomas B. DeMarse:
Liquid state machines and cultured cortical networks: The separation property. Biosyst. 95(2): 90-97 (2009)
[j127]
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Shalom Darmanjian, José C. Príncipe:
Spatial-Temporal Clustering of Neural Data Using Linked-Mixtures of Hidden Markov Models. EURASIP J. Adv. Signal Process. 2009 (2009)
[j126]
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Karim G. Oweiss, José C. Príncipe, Don H. Johnson:
Statistical Signal Processing in Neuroscience. EURASIP J. Adv. Signal Process. 2009 (2009)
[j125]
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António R. C. Paiva, Il Park, José C. Príncipe:
A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing. Neural Comput. 21(2): 424-449 (2009)
[j124]
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Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces. Neural Comput. 21(10): 2894-2930 (2009)
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Justin C. Sanchez, Babak Mahmoudi, Jack DiGiovanna, José C. Príncipe:
Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants. Neural Networks 22(3): 305-315 (2009)
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Yiwen Wang, José C. Príncipe, Justin C. Sanchez:
Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces. Neural Networks 22(5-6): 781-790 (2009)
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Aysegul Gunduz, Justin C. Sanchez, Paul R. Carney, José C. Príncipe:
Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans: Motor control features. Neural Networks 22(9): 1257-1270 (2009)
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Kyu-Hwa Jeong, Weifeng Liu, Seungju Han, Erion Hasanbelliu, José C. Príncipe:
The correntropy MACE filter. Pattern Recognit. 42(5): 871-885 (2009)
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Sudhir Rao, Allan de Medeiros Martins, José C. Príncipe:
Mean shift: An information theoretic perspective. Pattern Recognit. Lett. 30(3): 222-230 (2009)
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Aysegul Gunduz, José Carlos Príncipe:
Correntropy as a novel measure for nonlinearity tests. Signal Process. 89(1): 14-23 (2009)
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Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
Kernel least mean square algorithm with constrained growth. Signal Process. 89(3): 257-265 (2009)
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Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
A low complexity robust detector in impulsive noise. Signal Process. 89(10): 1902-1909 (2009)
[j115]
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Jack DiGiovanna, Babak Mahmoudi, José A. B. Fortes, José C. Príncipe, Justin C. Sanchez:
Coadaptive Brain-Machine Interface via Reinforcement Learning. IEEE Trans. Biomed. Eng. 56(1): 54-64 (2009)
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Ruijiang Li, José C. Príncipe, Margaret M. Bradley, Vera Ferrari:
A Spatiotemporal Filtering Methodology for Single-Trial ERP Component Estimation. IEEE Trans. Biomed. Eng. 56(1): 83-92 (2009)
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Shih Yu Chang, Hsiao-Chun Wu, Frank Neubrander, José C. Príncipe:
Theories, Analysis, and Bounds of the Finite-Support Approximation for the Inverses of Mixing-Phase FIR Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(10): 2181-2194 (2009)
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Weifeng Liu, Il Park, José C. Príncipe:
An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters. IEEE Trans. Neural Networks 20(12): 1950-1961 (2009)
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Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe:
Extended kernel recursive least squares algorithm. IEEE Trans. Signal Process. 57(10): 3801-3814 (2009)
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Justin C. Sanchez, Renato J. O. Figueiredo, José A. B. Fortes, José Carlos Príncipe:
Development of Symbiotic Brain-Machine Interfaces Using a Neurophysiology Cyberworkstation. HCI (2) 2009: 606-615
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Sohan Seth, Il Park, José C. Príncipe:
A new nonparametric measure of conditional independence. ICASSP 2009: 2981-2984
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Shalom Darmanjian, José Carlos Príncipe:
Hierarchical clustering of neural data using Linked-Mixtures of Hidden Markov Models for Brain Machine Interfaces. ICASSP 2009: 3505-3508
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Sohan Seth, José Carlos Príncipe:
On speeding up computation in information theoretic learning. IJCNN 2009: 2883-2887
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Abhishek Singh, José Carlos Príncipe:
Using Correntropy as a cost function in linear adaptive filters. IJCNN 2009: 2950-2955
[c185]
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Yiwen Wang, Justin C. Sanchez, José Carlos Príncipe:
Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces. IJCNN 2009: 3275-3280
[c184]
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Sheng-Feng Yen, Jie Xu, Manu Rastogi, John G. Harris, José Carlos Príncipe, Justin C. Sanchez:
A Biphasic Integrate-and-fire System. ISCAS 2009: 657-660
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Justin C. Sanchez, José Carlos Príncipe:
Prerequesites for Symbiotic Brain-Machine Interfaces. SMC 2009: 1736-1741
[c182]
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Erion Hasanbelliu, José Carlos Príncipe, K. Clint Slatton:
Correntropy Based Matched Filtering for Classification in Sidescan Sonar Imagery. SMC 2009: 2757-2762
[c181]
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Dongliang Duan, Fengzhong Qu, Liuqing Yang, Ananthram Swami, José Carlos Príncipe:
Modulation selection from a battery power efficiency perspective: a case study of PPM and OOK. WCNC 2009: 243-248
[c180]
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Dongliang Duan, Liuqing Yang, José C. Príncipe:
Cooperative diversity of spectrum sensing in cognitive radio networks. WCNC 2009: 745-750
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José Carlos Príncipe, Risto Miikkulainen:
Advances in Self-Organizing Maps, 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings. Lecture Notes in Computer Science 5629, Springer 2009, ISBN 978-3-642-02396-5 [contents]
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Deniz Erdogmus, José Carlos Príncipe:
Information Theoretic Learning. Encyclopedia of Artificial Intelligence 2009: 902-909
2008
[j110]
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Shalom Darmanjian, José C. Príncipe:
Boosted and Linked Mixtures of HMMs for Brain-Machine Interfaces. EURASIP J. Adv. Signal Process. 2008 (2008)
[j109]
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Weifeng Liu, José C. Príncipe:
Kernel Affine Projection Algorithms. EURASIP J. Adv. Signal Process. 2008 (2008)
[j108]
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Kyu-Hwa Jeong, José C. Príncipe:
Enhancing the correntropy MACE filter with random projections. Neurocomputing 72(1-3): 102-111 (2008)
[j107]
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Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A new nonlinear similarity measure for multichannel signals. Neural Networks 21(2-3): 222-231 (2008)
[j106]
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Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe:
Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK. Signal Process. 88(6): 1368-1381 (2008)
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Justin C. Sanchez, José C. Príncipe, Toshikazu Nishida, Rizwan Bashirullah, John G. Harris, José A. B. Fortes:
Technology and Signal Processing for Brain-Machine Interfaces. IEEE Signal Process. Mag. 25(1): 29-40 (2008)
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Jian-Wu Xu, José Carlos Príncipe:
A Pitch Detector Based on a Generalized Correlation Function. IEEE Trans. Speech Audio Process. 16(8): 1420-1432 (2008)
[j103]
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Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
The Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 56(2): 543-554 (2008)
[j102]
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Jian-Wu Xu, António R. C. Paiva, Il Park, José Carlos Príncipe:
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning. IEEE Trans. Signal Process. 56(12): 5891-5902 (2008)
[j101]
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Hsiao-Chun Wu, Yiyan Wu, José C. Príncipe, Xianbin Wang:
Robust switching blind equalizer for wireless cognitive receivers. IEEE Trans. Wirel. Commun. 7(5-1): 1461-1465 (2008)
[c179]
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Il Park, José Carlos Príncipe:
Correntropy based Granger causality. ICASSP 2008: 3605-3608
[c178]
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Sohan Seth, José C. Príncipe:
Compressed signal reconstruction using the correntropy induced metric. ICASSP 2008: 3845-3848
[c177]
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António R. C. Paiva, Il Park, José C. Príncipe:
Reproducing kernel Hilbert spaces for spike train analysis. ICASSP 2008: 5212-5215
[c176]
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Weifeng Liu, José C. Príncipe:
The wellposedness analysis of the kernel adaline. IJCNN 2008: 1062-1067
[c175]
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John G. Harris, José C. Príncipe, Justin C. Sanchez, Du Chen, Christy She:
Pulse-based signal compression for implanted neural recording systems. ISCAS 2008: 344-347
[c174]
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John G. Harris, Jie Xu, Manu Rastogi, Alexander Singh-Alvarado, Vaibhav Garg, José C. Príncipe, Kalyana Vuppamandla:
Real time signal reconstruction from spikes on a digital signal processor. ISCAS 2008: 1060-1063
2007
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Justin C. Sanchez, José Carlos Príncipe:
Brain-Machine Interface Engineering. Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers 2007, ISBN 978-3-031-00493-3
[j100]
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Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José C. Príncipe, J. Chris Sackellares:
Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography. Comput. Intell. Neurosci. 2007 (2007)
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Jeongho Cho, José C. Príncipe, Deniz Erdogmus, Mark A. Motter:
Quasi-sliding mode control strategy based on multiple-linear models. Neurocomputing 70(4-6): 960-974 (2007)
[j98]
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Mustafa C. Ozturk, Dongming Xu, José Carlos Príncipe:
Analysis and Design of Echo State Networks. Neural Comput. 19(1): 111-138 (2007)
[j97]
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Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe:
Self-organizing maps with dynamic learning for signal reconstruction. Neural Networks 20(2): 274-284 (2007)
[j96]
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Herbert Jaeger, Wolfgang Maass, José Carlos Príncipe:
Special issue on echo state networks and liquid state machines. Neural Networks 20(3): 287-289 (2007)
[j95]
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Mustafa C. Ozturk, José Carlos Príncipe:
An associative memory readout for ESNs with applications to dynamical pattern recognition. Neural Networks 20(3): 377-390 (2007)
[j94]
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Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe:
Real time input subset selection for linear time-variant MIMO systems. Optim. Methods Softw. 22(1): 83-98 (2007)
[j93]
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Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Torbjørn Eltoft:
Information cut for clustering using a gradient descent approach. Pattern Recognit. 40(3): 796-806 (2007)
[j92]
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Allan Kardec Barros, José Carlos Príncipe, Deniz Erdogmus:
Independent Component Analysis and Blind Source Separation. Signal Process. 87(8): 1817-1818 (2007)
[j91]
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Ruijiang Li, Weifeng Liu, José C. Príncipe:
A unifying criterion for instantaneous blind source separation based on correntropy. Signal Process. 87(8): 1872-1881 (2007)
[j90]
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Seungju Han, Sudhir Rao, Deniz Erdogmus, Kyu-Hwa Jeong, José Carlos Príncipe:
A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS). Signal Process. 87(11): 2733-2745 (2007)
[j89]
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Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
The Laplacian Classifier. IEEE Trans. Signal Process. 55(7-1): 3262-3271 (2007)
[j88]
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Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
Correntropy: Properties and Applications in Non-Gaussian Signal Processing. IEEE Trans. Signal Process. 55(11): 5286-5298 (2007)
[c173]
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Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
A New Information Theoretic Measure of PDF Symmetry. ICASSP (2) 2007: 529-532
[c172]
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Kyu-Hwa Jeong, Seungju Han, José C. Príncipe:
The Fast Correntropy Mace Filter. ICASSP (2) 2007: 613-616
[c171]
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Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe:
Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices. ICASSP (2) 2007: 645-648
[c170]
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Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
Kernel LMS. ICASSP (3) 2007: 1421-1424
[c169]
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Jack DiGiovanna, Loris Marchal, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe, Linda Hermer-Vazquez, Renato J. O. Figueiredo, José A. B. Fortes:
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces. International Conference on Computational Science (1) 2007: 964-971
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José C. Príncipe:
Brain Machine Interfaces: Modeling Strategies for Neural Signal Processing. DSP 2007: 14
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Sudhir Rao, Seungju Han, José Carlos Príncipe:
Information Theoretic Vector Quantization with Fixed Point Updates. IJCNN 2007: 1020-1024
[c166]
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António R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe:
Spectral Clustering of Synchronous Spike Trains. IJCNN 2007: 1831-1835
[c165]
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Sudhir Rao, António R. C. Paiva, José C. Príncipe:
A Novel Weighted LBG Algorithm for Neural Spike Compression. IJCNN 2007: 1883-1887
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Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A New Nonlinear Similarity Measure for Multichannel Biological Signals. IJCNN 2007: 2046-2051
[c163]
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Il Park, António R. C. Paiva, José C. Príncipe, John G. Harris:
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. IJCNN 2007: 2064-2068
[c162]
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Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. IJCNN 2007: 2250-2255
[c161]
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Nicolas J. Dedual, Mustafa C. Ozturk, Justin C. Sanchez, José C. Príncipe:
An Associative Memory Readout in ESN for Neural Action Potential Detection. IJCNN 2007: 2295-2299
[c160]
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Rodrigo Sacchi, Mustafa C. Ozturk, José C. Príncipe, Adriano A. F. Carneiro, Ivan Nunes da Silva:
Water Inflow Forecasting using the Echo State Network: a Brazilian Case Study. IJCNN 2007: 2403-2408
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Seungju Han, Sudhir Rao, Deniz Erdogmus, José C. Príncipe:
A Novel Switching Scheme Between Adaptive Information Algorithms. IJCNN 2007: 2840-2845
[c158]
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Shalom Darmanjian, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. IJCNN 2007: 3062-3067
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Rizwan Bashirullah, John G. Harris, Justin C. Sanchez, Toshikazu Nishida, José Carlos Príncipe:
Florida Wireless Implantable Recording Electrodes (FWIRE) for Brain Machine Interfaces. ISCAS 2007: 2084-2087
2006
[j87]
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Dongming Xu, José Carlos Príncipe:
Computation in a reduced KII network based on synchronization. Int. J. Intell. Syst. 21(9): 919-935 (2006)
[j86]
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Allan Kardec Barros, José Carlos Príncipe, Yoshinori Takeuchi, Noboru Ohnishi:
Using non-linear even functions for error minimization in adaptive filters. Neurocomputing 70(1-3): 9-13 (2006)
[j85]
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Robert Jenssen, José C. Príncipe, Deniz Erdogmus, Torbjørn Eltoft:
The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels. J. Frankl. Inst. 343(6): 614-629 (2006)
[j84]
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Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, José C. Príncipe:
Feature Extraction Using Information-Theoretic Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1385-1392 (2006)
[j83]
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Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe:
An analysis of entropy estimators for blind source separation. Signal Process. 86(1): 182-194 (2006)
[j82]
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Deniz Erdogmus, José C. Príncipe:
From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems. IEEE Signal Process. Mag. 23(6): 14-33 (2006)
[j81]
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José C. Príncipe:
Editorial. IEEE Trans. Biomed. Eng. 53(2): 153-154 (2006)
[j80]
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Jing Hu, Jianbo Gao, José Carlos Príncipe:
Analysis of Biomedical Signals by the Lempel-Ziv Complexity: the Effect of Finite Data Size. IEEE Trans. Biomed. Eng. 53(12): 2606-2609 (2006)
[j79]
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Jeongho Cho, José Carlos Príncipe, Deniz Erdogmus, Mark A. Motter:
Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. IEEE Trans. Neural Networks 17(2): 445-460 (2006)
[j78]
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Kenneth E. Hild II, Deniz Erdogmus, José Carlos Príncipe:
Experimental upper bound for the performance of convolutive source separation methods. IEEE Trans. Signal Process. 54(2): 627-635 (2006)
[j77]
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Ignacio Santamaría, Puskal P. Pokharel, José Carlos Príncipe:
Generalized correlation function: definition, properties, and application to blind equalization. IEEE Trans. Signal Process. 54(6-1): 2187-2197 (2006)
[j76]
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Robert Jenssen, Torbjørn Eltoft, Deniz Erdogmus, José C. Príncipe:
Some Equivalences between Kernel Methods and Information Theoretic Methods. J. VLSI Signal Process. 45(1-2): 49-65 (2006)
[j75]
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Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, José C. Príncipe:
Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. J. VLSI Signal Process. 45(1-2): 67-83 (2006)
[j74]
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Anant Hegde, José Carlos Príncipe, Deniz Erdogmus, Umut Ozertem, Yadunandana N. Rao, Hemanth Peddaneni:
Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis. J. VLSI Signal Process. 45(1-2): 85-95 (2006)
[c156]
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Jack DiGiovanna, Justin C. Sanchez, José C. Príncipe:
Improved Linear BMI Systems via Population Averaging. EMBC 2006: 1608-1611
[c155]
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Shalom Darmanjian, Grzegorz Cieslewski, Scott Morrison, Benjamin Dang, Karl S. Gugel, José C. Príncipe:
A Reconfigurable Neural Signal Processor (NSP) for Brain Machine Interfaces. EMBC 2006: 2502-2505
[c154]
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Nadia Mammone, Francesco Carlo Morabito, José C. Príncipe:
Visualization of the Short Term Maximum Lyapunov Exponent Topography in the Epileptic Brain. EMBC 2006: 4257-4260
[c153]
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António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Gravity Transform for Input Conditioning in Brain Machine Interfaces. EMBC 2006: 4261-4264
[c152]
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Sandeep P. Nair, J. Chris Sackellares, Deng-Shan Shiau, Wendy M. Norman, Linda K. Dance, Panos M. Pardalos, José C. Príncipe, Paul R. Carney:
Effects of Acute Hippocampal Stimulation on EEG Dynamics. EMBC 2006: 4382-4386
[c151]
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Ruijiang Li, José C. Príncipe:
Blinking Artifact Removal in Cognitive EEG Data Using ICA. EMBC 2006: 5273-5276
[c150]
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Justin C. Sanchez, Paul R. Carney, José C. Príncipe:
Analysis of Amplitude Modulated Control Features for ECoG Neuroprosthetics. EMBC 2006: 5468-5471
[c149]
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Grzegorz Cieslewski, David Cheney, Karl S. Gugel, Justin C. Sanchez, José C. Príncipe:
Neural Signal Sampling via the Low Power Wireless Pico System. EMBC 2006: 5904-5907
[c148]
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Yiwen Wang, Justin C. Sanchez, José C. Príncipe, Jeremiah D. Mitzelfelt, Aysegul Gunduz:
Analysis of the Correlation between Local Field Potentials and Neuronal Firing Rate in the Motor Cortex. EMBC 2006: 6185-6188
[c147]
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Pengfei Li, José C. Príncipe, Rizwan Bashirullah:
A Wireless Power Interface for Rechargeable Battery Operated Neural Recording Implants. EMBC 2006: 6253-6256
[c146]
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Anant Hegde, José C. Príncipe:
On Spatio-Temporal Dependency Changes in Epileptic Intracranial EEG: A Statistical Assessment. EMBC (Supplement) 2006: 6711-6714
[c145]
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Seungju Han, Sudhir Rao, José Carlos Príncipe:
Estimating the Information Potential with the Fast Gauss Transform. ICA 2006: 82-89
[c144]
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António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe:
Kernel Principal Components Are Maximum Entropy Projections. ICA 2006: 846-853
[c143]
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Dongho Han, José C. Príncipe, Liuqing Yang, Ignacio Santamaría, Javier Vía:
Robust Blind Simo Channel Estimation Using Adatron. ICASSP (4) 2006: 125-128
[c142]
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Jian-Wu Xu, Puskal P. Pokharel, Kyu-Hwa Jeong, José C. Príncipe:
An Explicit Construction Of A Reproducing Gaussian Kernel Hilbert Space. ICASSP (5) 2006: 573-576
[c141]
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Seungju Han, Sudhir Rao, Kyu-Hwa Jeong, José C. Príncipe:
A Normalized Minimum Error Entropy Stochastic Algorithm. ICASSP (5) 2006: 609-612
[c140]
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Puskal P. Pokharel, Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
A Closed Form Solution for a Nonlinear Wiener Filter. ICASSP (3) 2006: 720-723
[c139]
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Kyu-Hwa Jeong, Puskal P. Pokharel, Jian-Wu Xu, Seungju Han, José C. Príncipe:
Kernel Based Synthetic Discriminant Function for Object Recognition. ICASSP (5) 2006: 765-768
[c138]
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Sudhir Rao, Justin C. Sanchez, Seungju Han, José C. Príncipe:
Spike Sorting Using non Parametric Clustering VIA Cauchy Schwartz PDF Divergence. ICASSP (5) 2006: 881-884
[c137]
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José A. B. Fortes, Renato J. O. Figueiredo, Linda Hermer-Vazquez, José Carlos Príncipe, Justin C. Sanchez:
A New Architecture for Deriving Dynamic Brain-Machine Interfaces. International Conference on Computational Science (3) 2006: 546-553
[c136]
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Il Park, Dongming Xu, Thomas B. DeMarse, José C. Príncipe:
Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space. IJCNN 2006: 581-586
[c135]
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Yiwen Wang, António R. C. Paiva, José C. Príncipe:
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. IJCNN 2006: 1846-1850
[c134]
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Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe:
Nonlinear Component Analysis Based on Correntropy. IJCNN 2006: 1851-1855
[c133]
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Aysegul Gunduz, Anant Hegde, José C. Príncipe:
Correntropy as a Novel Measure for Nonlinearity Tests. IJCNN 2006: 1856-1862
[c132]
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Jack DiGiovanna, Justin C. Sanchez, B. J. Fregly, José C. Príncipe:
Arm Motion Reconstruction via Feature Clustering in Joint Angle Space. IJCNN 2006: 4678-4683
[c131]
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Robert Jenssen, Deniz Erdogmus, José C. Príncipe:
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. IJCNN 2006: 4904-4911
[c130]
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Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
Correntropy: A Localized Similarity Measure. IJCNN 2006: 4919-4924
[c129]
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Du Chen, Yuan Li, Dongming Xu, John G. Harris, José Carlos Príncipe:
Asynchronous biphasic pulse signal coding and its CMOS realization. ISCAS 2006
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Pengfei Li, Rizwan Bashirullah, José Carlos Príncipe:
A low power battery management system for rechargeable wireless implantable electronics. ISCAS 2006
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Ewaldo Eder Santana, José C. Príncipe, Allan Kardec Barros, R. C. S. Freire:
An Adaptive Algorithm Based On The Sigmoidal Function. SBRN 2006: 1-5
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Justinian P. Rosca, Deniz Erdogmus, José Carlos Príncipe, Simon Haykin:
Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings. Lecture Notes in Computer Science 3889, Springer 2006, ISBN 3-540-32630-8 [contents]
2005
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Jing Lan, Jeongho Cho, Deniz Erdogmus, José C. Príncipe, Mark A. Motter, Jian-Wu Xu:
Local Linear PID Controllers for Nonlinear Control. Control. Intell. Syst. 33(1) (2005)
[j72]
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António J. S. Teixeira, Roberto Martinez, Luís Nuno Silva, Luis M. T. Jesus, José C. Príncipe, Francisco A. C. Vaz:
Simulation of Human Speech Production Applied to the Study and Synthesis of European Portuguese. EURASIP J. Adv. Signal Process. 2005(9): 1435-1448 (2005)
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Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, Justin C. Sanchez, Miguel A. L. Nicolelis, José C. Príncipe:
Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization. EURASIP J. Adv. Signal Process. 2005(19): 3113-3121 (2005)
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Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe:
Fast error whitening algorithms for system identification and control with noisy data. Neurocomputing 69(1-3): 158-181 (2005)
[j69]
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Tue Lehn-Schiøler, Anant Hegde, Deniz Erdogmus, José Carlos Príncipe:
Vector quantization using information theoretic concepts. Nat. Comput. 4(1): 39-51 (2005)
[j68]
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Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, José Carlos Príncipe:
A new classifier based on information theoretic learning with unlabeled data. Neural Networks 18(5-6): 719-726 (2005)
[j67]
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Deniz Erdogmus, José Carlos Príncipe:
Information Theoretic Signal Processing. Signal Process. 85(5): 873-874 (2005)
[j66]
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Deniz Erdogmus, Rati Agrawal, José Carlos Príncipe:
A mutual information extension to the matched filter. Signal Process. 85(5): 927-935 (2005)
[j65]
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Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José Carlos Príncipe, J. Chris Sackellares:
Quantifying spatio-temporal dependencies in epileptic ECOG. Signal Process. 85(11): 2082-2100 (2005)
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Kenneth E. Hild II, David Pinto, Deniz Erdogmus, José Carlos Príncipe:
Convolutive blind source separation by minimizing mutual information between segments of signals. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(10): 2188-2196 (2005)
[j63]
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Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Trans. Neural Networks 16(2): 325-337 (2005)
[j62]
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Marcelino Lázaro, Ignacio Santamaría, Deniz Erdogmus, Kenneth E. Hild II, Carlos Pantaleón, José C. Príncipe:
Stochastic blind equalization based on PDF fitting using Parzen estimator. IEEE Trans. Signal Process. 53(2-1): 696-704 (2005)
[j61]
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Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
Error whitening criterion for adaptive filtering: theory and algorithms. IEEE Trans. Signal Process. 53(3): 1057-1069 (2005)
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Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
Minimum error entropy Luenberger observer. ACC 2005: 1923-19283
[c125]
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Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft:
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering. EMMCVPR 2005: 34-45
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Ignacio Santamaría, Deniz Erdogmus, Rati Agrawal, José C. Príncipe:
Robust matched filtering in the feature space. EUSIPCO 2005: 1-4
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Yadunandana N. Rao, Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, José C. Príncipe, Jose M. Carmena, Mikhail A. Lebedev, Miguel A. L. Nicolelis:
Learning mappings in brain machine interfaces with echo state networks. ICASSP (5) 2005: 233-236
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Jian-Wu Xu, Deniz Erdogmus, Robert Jenssen, José C. Príncipe:
An information-theoretic perspective to kernel independent components analysis. ICASSP (5) 2005: 249-252
[c121]
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Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Supervised training of adaptive systems with partially labeled data. ICASSP (5) 2005: 321-324
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Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
The Laplacian spectral classifier. ICASSP (5) 2005: 325-328
[c119]
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Rui Yan, Guojun He, Deniz Erdogmus, Sung-Phil Kim, José C. Príncipe, Yijun Liu:
Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection. ICASSP (2) 2005: 473-476
[c118]
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Kyu-Hwa Jeong, Jian-Wu Xu, José C. Príncipe:
An information theoretic approach to adaptive system training using unlabeled data. IJCNN 2005: 191-195
[c117]
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Mustafa C. Ozturk, José C. Príncipe:
Computing with transiently stable states. IJCNN 2005: 1467-1472
[c116]
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Dongming Xu, Jing Lan, José C. Príncipe:
Direct adaptive control: an echo state network and genetic algorithm approach. IJCNN 2005: 1483-1486
[c115]
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Dilip Goswami, Klaus Schuch, Yi Zheng, Thomas B. DeMarse, José C. Príncipe:
Towards the modeling of dissociated cortical tissue in the liquid state machine framework. IJCNN 2005: 2179-2183
[c114]
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Dongho Han, Sung-Phil Kim, José C. Príncipe:
Sparse channel estimation with regularization method using convolution inequality for entropy. IJCNN 2005: 2359-2362
[c113]
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Yiwen Wang, Sung-Phil Kim, José C. Príncipe:
Comparison of TDNN training algorithms in brain machine interfaces. IJCNN 2005: 2459-2462
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José Carlos Príncipe:
Information Theoretic Learning. PRIS 2005
2004
[j60]
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Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, José C. Príncipe:
Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation. EURASIP J. Adv. Signal Process. 2004(13): 2034-2041 (2004)
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Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, José Carlos Príncipe:
Minimax Mutual Information Approach for Independent Component Analysis. Neural Comput. 16(6): 1235-1252 (2004)
[j58]
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Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons:
Asymptotic SNR-performance of some image combination techniques for phased-array MRI. Signal Process. 84(6): 997-1003 (2004)
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Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons:
Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat. Signal Process. 84(6): 1035-1040 (2004)
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José Carlos Príncipe:
Editorial. IEEE Trans. Biomed. Eng. 51(1): 1-2 (2004)
[j55]
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Justin C. Sanchez, Jose M. Carmena, Mikhail A. Lebedev, Miguel A. L. Nicolelis, John G. Harris, José C. Príncipe:
Ascertaining the importance of neurons to develop better brain-machine interfaces. IEEE Trans. Biomed. Eng. 51(6): 943-953 (2004)
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José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus:
Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks 15(4): 789-791 (2004)
[j53]
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Rodney A. Morejon, José Carlos Príncipe:
Advanced search algorithms for information-theoretic learning with kernel-based estimators. IEEE Trans. Neural Networks 15(4): 874-884 (2004)
[j52]
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Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi:
Feature selection in MLPs and SVMs based on maximum output information. IEEE Trans. Neural Networks 15(4): 937-948 (2004)
[j51]
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Dongming Xu, José Carlos Príncipe:
Dynamical analysis of neural oscillators in an olfactory cortex model. IEEE Trans. Neural Networks 15(5): 1053-1062 (2004)
[j50]
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Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Marcelino Lázaro, Ignacio Santamaría:
Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation. IEEE Trans. Signal Process. 52(6): 1489-1498 (2004)
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Deniz Erdogmus, José C. Príncipe:
Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information. J. VLSI Signal Process. 37(2-3): 305-317 (2004)
[j48]
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Yadunandana N. Rao, José C. Príncipe, Tan F. Wong:
Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications. J. VLSI Signal Process. 37(2-3): 333-344 (2004)
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Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe:
Gaussianizing Transformations for ICA. ICA 2004: 26-32
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Luis Vielva, Ignacio Santamaría, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe:
On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions. ICA 2004: 185-192
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Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe:
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures. ICA 2004: 311-318
[c108]
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Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
Minimizing Fisher information of the error in supervised adaptive filter training. ICASSP (5) 2004: 513-516
[c107]
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Deniz Erdogmus, Rui Yan, Erik G. Larsson, José C. Príncipe, Jeffrey R. Fitzsimmons:
Mixture of competitive linear models for phased-array magnetic resonance imaging. ICASSP (5) 2004: 585-588
[c106]
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Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
Accurate linear parameter estimation in colored noise. ICASSP (2) 2004: 689-692
[c105]
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Tue Lehn-Schiøler, Deniz Erdogmus, José C. Príncipe:
Parzen particle filters. ICASSP (5) 2004: 781-784
[c104]
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Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Nonlinear independent component analysis by homomorphic transformation of the mixtures. IJCNN 2004
[c103]
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Dongho Han, Yadunandana N. Rao, José C. Príncipe, Karl S. Gugel:
Real-time PCA (principal component analysis) implementation on DSP. IJCNN 2004: 2159-2162
[c102]
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Anant Hegde, Deniz Erdogmus, Tue Lehn-Schiøler, Yadunandana N. Rao, José C. Príncipe:
Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense. IJCNN 2004
[c101]
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Robert Jenssen, Torbjørn Eltoft, José C. Príncipe:
Information theoretic spectral clustering. IJCNN 2004
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Mustafa C. Ozturk, Dongming Xu, José C. Príncipe:
Modified Freeman model: a stability analysis and application to pattern recognition. IJCNN 2004: 3207-3212
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José C. Príncipe:
Welcome. IJCNN 2004
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Dongming Xu, José Carlos Príncipe, John G. Harris:
Logic computation using coupled neural oscillators. ISCAS (5) 2004: 788-791
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Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft:
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. NIPS 2004: 625-632
2003
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Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Johan Wessberg, José Carlos Príncipe, Miguel A. L. Nicolelis:
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. Neural Networks 16(5-6): 865-871 (2003)
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Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José Carlos Príncipe:
Stochastic error whitening algorithm for linear filter estimation with noisy data. Neural Networks 16(5-6): 873-880 (2003)
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Ignacio Santamaría, Rafael González Ayestarán, Carlos Pantaleón, José Carlos Príncipe:
Maximum margin equalizers trained with the Adatron algorithm. Signal Process. 83(3): 593-602 (2003)
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Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe:
Online entropy manipulation: stochastic information gradient. IEEE Signal Process. Lett. 10(8): 242-245 (2003)
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Leonidas D. Iasemidis, Deng-Shan Shiau, Wanpracha Art Chaovalitwongse, J. Chris Sackellares, Panos M. Pardalos, José C. Príncipe, Paul R. Carney, Awadhesh Prasad, Balaji Veeramani, Kostas Tsakalis:
Adaptive epileptic seizure prediction system. IEEE Trans. Biomed. Eng. 50(5): 616-627 (2003)
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Deniz Erdogmus, José C. Príncipe:
Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training. IEEE Trans. Signal Process. 51(7): 1966-1978 (2003)
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Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft:
Information Force Clustering Using Directed Trees. EMMCVPR 2003: 68-82
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Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Accelerating the convergence speed of neural networks learning methods using least squares. ESANN 2003: 255-260
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Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN 2003: 451-456
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Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Linear Least-Squares Based Methods for Neural Networks Learning. ICANN 2003: 84-91
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