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José C. Príncipe
José Carlos Príncipe
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- affiliation: University of Florida, Gainesville, USA
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2020 – today
- 2025
- [j287]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]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]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]Bo Hu, Yuheng Bu, José C. Príncipe:
Learning Orthonormal Features in Self-Supervised Learning using Functional Maximal Correlation. ICIP 2024: 472-478 - [c393]Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
Cauchy-Schwarz Divergence Information Bottleneck for Regression. ICLR 2024 - [c392]Naoki Sawahashi
, José C. Príncipe:
End-to-end Image Classification in Linear Hybrid Cellular Automata. IJCNN 2024: 1-6 - [c391]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]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]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]Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
Cauchy-Schwarz Divergence Information Bottleneck for Regression. CoRR abs/2404.17951 (2024) - [i78]Wenqian Xue, Chi Ding, José C. Príncipe:
Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels. CoRR abs/2409.04945 (2024) - [i77]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]Kan Li, José C. Príncipe:
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. CoRR abs/2411.00198 (2024) - [i75]Hongming Li, Shujian Yu, Bin Liu, José C. Príncipe:
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy. CoRR abs/2412.03800 (2024) - 2023
- [j284]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]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]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]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]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]Hongming Li, Shujian Yu
, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. AAAI 2023: 8562-8570 - [c388]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]Ran Dou
, José C. Príncipe:
Universal Recurrent Event Memories for Streaming Data. IJCNN 2023: 1-10 - [c386]Ran Dou
, José C. Príncipe:
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. IJCNN 2023: 1-6 - [c385]Yao Sun, Bo Hu, José C. Príncipe:
The Kernel Maximal Correlation Filter. MLSP 2023: 1-6 - [c384]Bo Hu, José C. Príncipe:
Cross Density Kernel for Nonstationary Signal Processing. SSP 2023: 195-199 - [i74]Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. CoRR abs/2301.06574 (2023) - [i73]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]Bo Hu, Yuheng Bu, José C. Príncipe:
Feature Learning in Image Hierarchies using Functional Maximal Correlation. CoRR abs/2305.20074 (2023) - [i71]Ran Dou, José C. Príncipe:
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. CoRR abs/2307.15679 (2023) - [i70]Ran Dou, José C. Príncipe:
Universal Recurrent Event Memories for Streaming Data. CoRR abs/2307.15694 (2023) - [i69]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]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]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]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]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]Kan Li
, José C. Príncipe
:
Functional Bayesian Filter. IEEE Trans. Signal Process. 70: 57-71 (2022) - [c383]Hongming Li, Shujian Yu, José C. Príncipe:
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. ICASSP 2022: 3878-3882 - [c382]Spencer Chang, José C. Príncipe:
Explaining Deep and ResNet Architecture Choices with Information Flow. IJCNN 2022: 1-6 - [c381]Ran Dou
, José C. Príncipe:
The Extended Kernel Adaptive Autoregressive-Moving-Average Algorithm. IJCNN 2022: 1-6 - [c380]Pingping Zhu, José C. Príncipe:
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. IJCNN 2022: 1-10 - [c379]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]Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe:
Principle of relevant information for graph sparsification. UAI 2022: 2331-2341 - [i68]Hongming Li, Shujian Yu, José C. Príncipe:
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. CoRR abs/2202.02951 (2022) - [i67]Leila Kalantari, José C. Príncipe, Kathryn E. Sieving:
Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio. CoRR abs/2202.13255 (2022) - [i66]Shujian Yu
, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe:
Principle of Relevant Information for Graph Sparsification. CoRR abs/2206.00118 (2022) - [i65]Rishabh Singh, José C. Príncipe:
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS. CoRR abs/2211.01999 (2022) - [i64]Rishabh Singh, José C. Príncipe:
Robust Dependence Measure using RKHS based Uncertainty Moments and Optimal Transport. CoRR abs/2211.02005 (2022) - [i63]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]Isaac J. Sledge, José C. Príncipe:
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. CoRR abs/2212.11083 (2022) - 2021
- [j274]Kan Li
, José C. Príncipe:
Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge. Frontiers Artif. Intell. 4: 568384 (2021) - [j273]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) - [j272]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]Rishabh Singh, José C. Príncipe:
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models. Neural Comput. 33(5): 1164-1198 (2021) - [j270]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]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]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) - [j267]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) - [j266]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) - [j265]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) - [c377]Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe:
Measuring Dependence with Matrix-based Entropy Functional. AAAI 2021: 10781-10789 - [c376]Bo Hu, José C. Príncipe:
Training a Bank of Wiener Models with a Novel Quadratic Mutual Information Cost Function. ICASSP 2021: 3150-3154 - [c375]Xi Yu
, Shujian Yu, José C. Príncipe:
Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional. ICASSP 2021: 3160-3164 - [c374]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 - [c373]Hongming Li, José C. Príncipe:
Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences. IJCNN 2021: 1-6 - [c372]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]Shiyu Duan, José C. Príncipe:
Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey. CoRR abs/2101.03419 (2021) - [i60]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]Isaac J. Sledge, José C. Príncipe:
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. CoRR abs/2101.06848 (2021) - [i58]Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe:
Measuring Dependence with Matrix-based Entropy Functional. CoRR abs/2101.10160 (2021) - [i57]Xi Yu, Shujian Yu, José C. Príncipe:
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional. CoRR abs/2102.00533 (2021) - [i56]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]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]Shiyu Duan, José C. Príncipe:
Labels, Information, and Computation: Efficient, Privacy-Preserving Learning Using Sufficient Labels. CoRR abs/2104.09015 (2021) - [i53]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]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]Leila Kalantari, José C. Príncipe, Kathryn E. Sieving:
Uncertainty quantification for multiclass data description. CoRR abs/2108.12857 (2021) - [i50]Rishabh Singh, José C. Príncipe:
Quantifying Model Predictive Uncertainty with Perturbation Theory. CoRR abs/2109.10888 (2021) - [i49]Isaac J. Sledge, José C. Príncipe:
Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. CoRR abs/2109.11737 (2021) - [i48]Bo Hu, Shujian Yu, José C. Príncipe:
Information Theoretic Structured Generative Modeling. CoRR abs/2110.05794 (2021) - 2020
- [j264]José C. Príncipe:
IEEE Fellows?Class of 2020 [Society Briefs]. IEEE Comput. Intell. Mag. 15(2): 6-10 (2020) - [j263]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]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]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) - [j260]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]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]Ying Ma
, José C. Príncipe
:
A Taxonomy for Neural Memory Networks. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1780-1793 (2020) - [j257]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]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]Zhengda Qin
, Badong Chen
, Nanning Zheng, José C. Príncipe
:
Augmented Space Linear Models. IEEE Trans. Signal Process. 68: 2724-2738 (2020) - [c371]Rishabh Singh, Shujian Yu, José C. Príncipe:
Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System. ICASSP 2020: 2757-2761 - [c370]José C. Príncipe:
A Cognitive Architecture for Object Recognition in Video. ICMLA 2020: 39 - [c369]Shujian Yu
, Ammar Shaker, Francesco Alesiani
, José C. Príncipe:
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. IJCAI 2020: 2777-2784 - [c368]Hongming Li, Ying Ma, José C. Príncipe:
Cognitive Architecture for Video Games. IJCNN 2020: 1-9 - [c367]Isaac J. Sledge, José C. Príncipe:
Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. IJCNN 2020: 1-7 - [c366]Rishabh Singh, José C. Príncipe:
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework. UAI 2020: 1368-1377 - [i47]Kan Li, José C. Príncipe:
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. CoRR abs/2001.00265 (2020) - [i46]Rishabh Singh
, José C. Príncipe:
Towards a Kernel based Physical Interpretation of Model Uncertainty. CoRR abs/2001.11495 (2020) - [i45]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]Shiyu Duan, Shujian Yu, José C. Príncipe:
Modularizing Deep Learning via Pairwise Learning With Kernels. CoRR abs/2005.05541 (2020) - [i43]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]Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe:
Mutual Information Matrix for Interpretable Fault Detection. CoRR abs/2007.10692 (2020) - [i41]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
- 2019
- [j254]José C. Príncipe:
IEEE Fellows - Class of 2019 [Society Briefs]. IEEE Comput. Intell. Mag. 14(2): 9-12 (2019) - [j253]Shujian Yu
, José C. Príncipe
:
Simple Stopping Criteria for Information Theoretic Feature Selection. Entropy 21(1): 99 (2019) - [j252]Isaac J. Sledge
, José C. Príncipe:
Reduction of Markov Chains Using a Value-of-Information-Based Approach. Entropy 21(4): 349 (2019) - [j251]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]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]Shujian Yu
, José C. Príncipe:
Understanding autoencoders with information theoretic concepts. Neural Networks 117: 104-123 (2019) - [j248]Badong Chen
, Xin Wang, Yingsong Li
, José C. Príncipe:
Maximum Correntropy Criterion With Variable Center. IEEE Signal Process. Lett. 26(8): 1212-1216 (2019) - [j247]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) - [j246]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]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) - [c365]Shailaja Akella, José C. Príncipe:
Correntropy based Robust Decomposition of Neuromodulations. EMBC 2019: 5790-5793 - [c364]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 - [c363]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 - [c362]Mihael Cudic, José C. Príncipe:
Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification. IJCNN 2019: 1-6 - [c361]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 - [c360]Carlos A. Loza, José C. Príncipe:
The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs. IWANN (1) 2019: 127-138 - [c359]Carlos A. Loza, José C. Príncipe:
Sparse Wave Packets Discriminate Motor Tasks in EEG-based BCIs. NER 2019: 639-642 - [i40]Gabriel Nallathambi, José C. Príncipe:
Theory and Algorithms for Pulse Signal Processing. CoRR abs/1901.01140 (2019) - [i39]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]Isaac J. Sledge, José C. Príncipe:
Reduction of Markov Chains using a Value-of-Information-Based Approach. CoRR abs/1903.09266 (2019) - [i37]Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe:
Maximum Correntropy Criterion with Variable Center. CoRR abs/1904.06501 (2019) - [i36]Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Minimum Error Entropy Kalman Filter. CoRR abs/1904.06617 (2019) - [i35]Yantao Wei, Shujian Yu, José C. Príncipe:
Multiscale Principle of Relevant Information for Hyperspectral Image Classification. CoRR abs/1907.06022 (2019) - [i34]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]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]Kan Li, José C. Príncipe:
Functional Bayesian Filter. CoRR abs/1911.10606 (2019) - [i31]Kan Li, José C. Príncipe:
No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features. CoRR abs/1912.04530 (2019) - 2018
- [j244]José C. Príncipe:
2018 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 13(1): 10-12 (2018) - [j243]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) - [j242]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) - [j241]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]Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe:
Self-Organised direction aware data partitioning algorithm. Inf. Sci. 423: 80-95 (2018) - [j239]Xiaowei Gu
, Plamen P. Angelov
, José C. Príncipe:
A method for autonomous data partitioning. Inf. Sci. 460-461: 65-82 (2018) - [j238]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]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]Plamen P. Angelov
, Xiaowei Gu
, José C. Príncipe:
A Generalized Methodology for Data Analysis. IEEE Trans. Cybern. 48(10): 2981-2993 (2018) - [j235]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]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]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]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]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]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]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]Shailaja Akella, José C. Príncipe:
Quantitative Analysis of a Marked Point Process based Sleep Spindle Detector (MPP-SSD). EMBC 2018: 1464-1467 - [c357]Carlos A. Loza, José C. Príncipe:
The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG. EMBC 2018: 3112-3115 - [c356]Xiang Zhang, José C. Príncipe, Yiwen Wang:
Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces. EMBC 2018: 6125-6128 - [c355]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]Isaac J. Sledge, José C. Príncipe:
Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information. ICASSP 2018: 2416-2420 - [c353]Rishabh Singh
, Kan Li
, José C. Príncipe:
Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda). ICASSP 2018: 2846-2850 - [c352]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]Ryan Burt, José C. Príncipe:
Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes. IJCNN 2018: 1-4 - [c350]Kan Li
, José C. Príncipe:
Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL). IJCNN 2018: 1-6 - [c349]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]Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Model. IJCNN 2018: 1-6 - [c347]Rishabh Singh
, José C. Príncipe:
Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition. IJCNN 2018: 1-7 - [c346]Isaac J. Sledge, José C. Príncipe:
Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. IJCNN 2018: 1-10 - [i30]Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Model. CoRR abs/1802.00174 (2018) - [i29]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]Shiyu Duan, Yunmei Chen, José C. Príncipe:
Learning Multiple Levels of Representations with Kernel Machines. CoRR abs/1802.03774 (2018) - [i27]Shujian Yu, José C. Príncipe:
Understanding Autoencoders with Information Theoretic Concepts. CoRR abs/1804.00057 (2018) - [i26]Shujian Yu, Robert Jenssen, José C. Príncipe:
Understanding Convolutional Neural Network Training with Information Theory. CoRR abs/1804.06537 (2018) - [i25]Ying Ma, José C. Príncipe:
A Taxonomy for Neural Memory Networks. CoRR abs/1805.00327 (2018) - [i24]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]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]Shujian Yu, José C. Príncipe:
Simple stopping criteria for information theoretic feature selection. CoRR abs/1811.11971 (2018) - 2017
- [j228]Badong Chen, Xi Liu
, Haiquan Zhao, José C. Príncipe:
Maximum correntropy Kalman filter. Autom. 76: 70-77 (2017) - [j227]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) - [j226]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) - [j225]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]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) - [j223]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]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) - [j221]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) - [j220]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]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]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 - [c344]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 - [c343]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 - [c342]Gabriel Nallathambi
, José C. Príncipe:
Time based gain control for the analog to pulse converter. GlobalSIP 2017: 216-219 - [c341]Gabriel Nallathambi
, Lei Rao, José C. Príncipe:
Hardware implementation of adder for pulse signal processing. GlobalSIP 2017: 1330-1334 - [c340]Catia S. Silva, José C. Príncipe, Andreas Keil
:
A novel methodology to quantify dense EEG in cognitive tasks. ICASSP 2017: 2442-2446 - [c339]Kan Li
, José C. Príncipe:
Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network. ICASSP 2017: 2726-2730 - [c338]Isaac J. Sledge, José C. Príncipe:
Balancing exploration and exploitation in reinforcement learning using a value of information criterion. ICASSP 2017: 2816-2820 - [c337]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]Eder Santana, José C. Príncipe:
Perception Updating Networks: On architectural constraints for interpretable video generative models. ICLR (Workshop) 2017 - [c335]Plamen Angelov, Xiaowei Gu, José C. Príncipe:
Fast feedforward non-parametric deep learning network with automatic feature extraction. IJCNN 2017: 534-541 - [c334]Ryan Burt, Mihael Cudic, José C. Príncipe:
Fusing attention with visual question answering. IJCNN 2017: 949-953 - [c333]Shengyang Luan, Tianshuang Qiu, José C. Príncipe:
Adaptive filtering based on extended kernel recursive maximum correntropy. IJCNN 2017: 2716-2722 - [c332]Kan Li
, José C. Príncipe:
Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. IJCNN 2017: 3733-3740 - [c331]Kan Li
, Ying Ma, José C. Príncipe:
Automatic plant identification using stem automata. MLSP 2017: 1-6 - [c330]Carlos A. Loza, José C. Príncipe:
Unsupervised robust detection of behavioral correlates in ECoG. NER 2017: 509-512 - [c329]Shanbao Tong, José C. Príncipe, Lei Ding, Paul Sajda:
Welcome message. NER 2017 - [i21]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]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]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]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]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]Isaac J. Sledge, José C. Príncipe:
Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits. CoRR abs/1710.02869 (2017) - [i15]Badong Chen, Lei Xing, Nanning Zheng, José C. Príncipe:
Quantized Minimum Error Entropy Criterion. CoRR abs/1710.04089 (2017) - [i14]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]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) - [j217]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]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]Badong Chen
, Jianji Wang
, Haiquan Zhao, José C. Príncipe:
Insights into Entropy as a Measure of Multivariate Variability. Entropy 18(5): 196 (2016) - [j214]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]Badong Chen, Junli Liang, Nanning Zheng, José C. Príncipe:
Kernel least mean square with adaptive kernel size. Neurocomputing 191: 95-106 (2016) - [j212]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]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]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]Austin J. Brockmeier
, José C. Príncipe:
Learning Recurrent Waveforms Within EEGs. IEEE Trans. Biomed. Eng. 63(1): 43-54 (2016) - [j208]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]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]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]Kan Li
, José C. Príncipe:
The Kernel Adaptive Autoregressive-Moving-Average Algorithm. IEEE Trans. Neural Networks Learn. Syst. 27(2): 334-346 (2016) - [j204]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]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 - [c327]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]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]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 - [c324]Badong Chen, Zhengda Qin, Nanning Zheng, José C. Príncipe:
Kernel adaptive filtering subject to equality function constraints. EUSIPCO 2016: 1-5 - [c323]Carlos A. Loza, José C. Príncipe:
Transient model of EEG using Gini Index-based matching pursuit. ICASSP 2016: 724-728 - [c322]Ryan Burt, Eder Santana, José C. Príncipe, Nina Thigpen, Andreas Keil
:
Predicting visual attention using gamma kernels. ICASSP 2016: 1606-1610 - [c321]Zheng Cao, José C. Príncipe, Bing Ouyang:
Information point set registration for shape recognition. ICASSP 2016: 2603-2607 - [c320]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]Guibiao Xu, Bao-Gang Hu
, José C. Príncipe:
Robust bounded logistic regression in the class imbalance problem. IJCNN 2016: 1434-1441 - [c318]Carlos A. Loza, José C. Príncipe:
Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition. IJCNN 2016: 1723-1727 - [c317]Eder Santana, Matthew Emigh, José C. Príncipe:
Information Theoretic-Learning auto-encoder. IJCNN 2016: 3296-3301 - [c316]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]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]Carlos A. Loza, José C. Príncipe:
A robust maximum correntropy criterion for dictionary learning. MLSP 2016: 1-6 - [c313]Plamen Angelov
, Xiaowei Gu
, Dmitry Kangin, José C. Príncipe:
Empirical data analysis: A new tool for data analytics. SMC 2016: 52-59 - [i13]Eder Santana, Matthew Emigh, José C. Príncipe:
Information Theoretic-Learning Auto-Encoder. CoRR abs/1603.06653 (2016) - [i12]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]Gabriel Nallathambi
, José C. Príncipe:
Signal Processing with Pulse Trains: An Algebraic Approach- Part I. CoRR abs/1611.03967 (2016) - [i10]Gabriel Nallathambi
, José C. Príncipe:
Signal Processing with Pulse Trains: An Algebraic Approach- Part II. CoRR abs/1611.03970 (2016) - 2015
- [j203]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]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]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]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]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]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]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]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]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]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]Pablo A. Estévez
, José C. Príncipe:
Special Issue on Advances in Self-organizing Maps. Neurocomputing 147: 1-2 (2015) - [j192]Rakesh Chalasani, José C. Príncipe:
Self-organizing maps with information theoretic learning. Neurocomputing 147: 3-14 (2015) - [j191]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]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]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]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]Rakesh Chalasani, José C. Príncipe:
Context Dependent Encoding Using Convolutional Dynamic Networks. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1992-2004 (2015) - [c312]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]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]Austin J. Brockmeier
, José C. Príncipe:
Explicit versus implicit source estimation for blind multiple input single output system identification. ICASSP 2015: 2140-2144 - [c309]Wentao Ma, Hua Qu, Ji-hong Zhao, Badong Chen, José C. Príncipe:
Sparsity aware minimum error entropy algorithms. ICASSP 2015: 2179-2183 - [c308]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]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]Zheng Cao, José C. Príncipe, Bing Ouyang:
Group feature selection in image classification with multiple kernel learning. IJCNN 2015: 1-5 - [c305]Badong Chen, Ren Wang, Nanning Zheng, José C. Príncipe:
Exponential C-Loss for data fitting. IJCNN 2015: 1-6 - [c304]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]Matthew Emigh, Evan Kriminger, José C. Príncipe:
Linear discriminant analysis with an information divergence criterion. IJCNN 2015: 1-6 - [c302]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]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]Eder Santana, Goktug T. Cinar
, José C. Príncipe:
Parallel flow in Deep Predictive Coding Networks. IJCNN 2015: 1-5 - [c299]Eder Santana, José C. Príncipe:
Mixed generative and supervised learning modes in Deep Predictive Coding Networks. IJCNN 2015: 1-4 - [c298]Ren Wang, Badong Chen, Nanning Zheng, José C. Príncipe:
A variable step-size adaptive algorithm under maximum correntropy criterion. IJCNN 2015: 1-5 - [c297]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]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]Gabriel Nallathambi
, José C. Príncipe, Neil R. Euliano
:
Pulse based signal processing for systolic peak recognition. MLSP 2015: 1-6 - [c294]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]Badong Chen, Weifeng Liu, José C. Príncipe:
Theoretical Methods in Machine Learning. Handbook of Computational Intelligence 2015: 523-543 - [i9]Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe:
Generalized Correntropy for Robust Adaptive Filtering. CoRR abs/1504.02931 (2015) - [i8]Badong Chen, Xi Liu, Haiquan Zhao, José C. Príncipe:
Maximum Correntropy Kalman Filter. CoRR abs/1509.04580 (2015) - [i7]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]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) - [j185]José C. Príncipe:
2014 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 9(1): 4-9 (2014) - [j184]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) - [j183]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) - [j182]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]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]Zhaohui Wu, Gang Pan, José Carlos Príncipe, Andrzej Cichocki
:
Cyborg Intelligence: Towards Bio-Machine Intelligent Systems. IEEE Intell. Syst. 29(6): 2-4 (2014) - [j179]Sohan Seth, José C. Príncipe:
Learning dependence from samples. Int. J. Bioinform. Res. Appl. 10(1): 43-58 (2014) - [j178]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) - [j177]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) - [j176]Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José Carlos Príncipe:
Information Theoretic Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2436-2451 (2014) - [j175]José C. Príncipe, Rakesh Chalasani:
Cognitive Architectures for Sensory Processing. Proc. IEEE 102(4): 514-525 (2014) - [j174]José C. Príncipe:
On the Importance of Synergisms Between Neuroscience and Engineering [Further Thoughts]. Proc. IEEE 102(4): 526-527 (2014) - [j173]Abhishek Singh, Rosha Pokharel, José C. Príncipe:
The C-loss function for pattern classification. Pattern Recognit. 47(1): 441-453 (2014) - [j172]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) - [j171]Gabriel Nallathambi
, José C. Príncipe:
Integrate and Fire Pulse Train Automaton for QRS detection. IEEE Trans. Biomed. Eng. 61(2): 317-326 (2014) - [j170]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) - [c293]Eder Santana, Austin J. Brockmeier
, José C. Príncipe:
Joint optimization of algorithmic suites for EEG analysis. EMBC 2014: 2997-3000 - [c292]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 - [c291]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 - [c290]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 - [c289]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]Austin J. Brockmeier
, Eder Santana, Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
Projentropy: Using entropy to optimize spatial projections. ICASSP 2014: 4538-4542 - [c287]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]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]Goktug T. Cinar
, José C. Príncipe:
Clustering of time series using a hierarchical linear dynamical system. ICASSP 2014: 6741-6745 - [c284]Rakesh Chalasani, José C. Príncipe:
Dynamic sparse coding with smoothing proximal gradient method. ICASSP 2014: 7188-7192 - [c283]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]Guibiao Xu, Bao-Gang Hu
, José C. Príncipe:
An asymmetric stagewise least square loss function for imbalanced classification. IJCNN 2014: 1107-1114 - [c281]Badong Chen, Xiaohan Yang, Hong Ji, Hua Qu, Nanning Zheng, José C. Príncipe:
Trimmed affine projection algorithms. IJCNN 2014: 1923-1928 - [c280]Ryan Burt, Goktug T. Cinar
, José C. Príncipe:
Pitch estimation using non-negative matrix factorization. IJCNN 2014: 2058-2062 - [c279]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]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]Rosha Pokharel, Sohan Seth, José C. Príncipe:
Quantized mixture kernel least mean square. IJCNN 2014: 4168-4174 - [c276]Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
Rate-Distortion Auto-Encoders. ICLR (Workshop Poster) 2014 - [i6]Badong Chen, Junli Liang, Nanning Zheng, José C. Príncipe:
Kernel Least Mean Square with Adaptive Kernel Size. CoRR abs/1401.5899 (2014) - [i5]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]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
- [j169]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) - [j168]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) - [j167]Badong Chen, Zejian Yuan, Nanning Zheng, José C. Príncipe:
Kernel minimum error entropy algorithm. Neurocomputing 121: 160-169 (2013) - [j166]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]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]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) - [j163]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]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]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) - [c275]Stefan Craciun, Gongyu Wang, Alan D. George
, Herman Lam, José C. Príncipe:
A scalable RC architecture for mean-shift clustering. ASAP 2013: 370-374 - [c274]Bilal H. Fadlallah, Andreas Keil
, José C. Príncipe:
Functional dependence in the human brain: A graph theoretical analysis. EMBC 2013: 2948-2951 - [c273]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 - [c272]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]Lu Wan
, Bilal H. Fadlallah, Andreas Keil
, José C. Príncipe:
Quantifying cognitive state from EEG using phase synchrony. EMBC 2013: 5809-5812 - [c270]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]Pingping Zhu, José C. Príncipe:
Kernel recurrent system trained by real-time recurrent learning algorithm. ICASSP 2013: 3572-3576 - [c268]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]Rakesh Chalasani, José C. Príncipe, Naveen Ramakrishnan:
A fast proximal method for convolutional sparse coding. IJCNN 2013: 1-5 - [c266]Badong Chen, Nanning Zheng, José C. Príncipe:
Survival kernel with application to kernel adaptive filtering. IJCNN 2013: 1-6 - [c265]Bilal Fadlallah, José C. Príncipe:
Diffusion least-mean squares over adaptive networks with dynamic topologies. IJCNN 2013: 1-6 - [c264]Jongmin Lee, Pingping Zhu, José C. Príncipe:
A parameter-free kernel design based on cumulative distribution function for correntropy. IJCNN 2013: 1-5 - [c263]Kan Li
, Badong Chen, José C. Príncipe:
Kernel adaptive filtering with confidence intervals. IJCNN 2013: 1-6 - [c262]Rosha Pokharel, Sohan Seth, José C. Príncipe:
Mixture kernel least mean square. IJCNN 2013: 1-7 - [c261]Pingping Zhu, José C. Príncipe:
Analysis on extended kernel recursive least squares algorithm. IJCNN 2013: 1-4 - [c260]Rakesh Chalasani, José C. Príncipe:
Deep Predictive Coding Networks. ICLR (Workshop Poster) 2013 - [c259]Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
Information Theoretic Learning with Infinitely Divisible Kernels. ICLR 2013 - [e4]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]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]Badong Chen, José C. Príncipe:
Some Further Results on the Minimum Error Entropy Estimation. Entropy 14(5): 966-977 (2012) - [j158]Badong Chen, José C. Príncipe:
On the Smoothed Minimum Error Entropy Criterion. Entropy 14(11): 2311-2323 (2012) - [j157]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]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]Sohan Seth, José C. Príncipe:
Conditional Association. Neural Comput. 24(7): 1882-1905 (2012) - [j154]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]Pingping Zhu
, Badong Chen, José C. Príncipe:
A novel extended kernel recursive least squares algorithm. Neural Networks 32: 349-357 (2012) - [j152]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]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]Badong Chen, José Carlos Príncipe:
Maximum Correntropy Estimation Is a Smoothed MAP Estimation. IEEE Signal Process. Lett. 19(8): 491-494 (2012) - [j149]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]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]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]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]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]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]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]José C. Príncipe:
Advances in Brain Machine Interfaces. BIOSTEC 2012: 5 - [c257]Jongmin Lee, José C. Príncipe:
Correntropy-based spectrum sensing for wireless microphones in man-made noise environments. CIP 2012: 1-6 - [c256]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]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]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]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]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]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]Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan:
Mixture of designer experts for multi-regime detection in streaming data. EUSIPCO 2012: 410-414 - [c249]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]Kittipat Kampa, José C. Príncipe, Duangmanee Putthividhya, Anand Rangarajan
:
Data-driven tree-structured Bayesian network for image segmentation. ICASSP 2012: 2213-2216 - [c247]José C. Príncipe:
Measure of Statistical Dependence. ICPRAM (1) 2012 - [c246]Rakesh Chalasani, Goktug T. Cinar
, José C. Príncipe:
Sequential causal estimation and learning from time-varying images. IJCNN 2012: 1-5 - [c245]Badong Chen, Songlin Zhao, Sohan Seth, José C. Príncipe:
Online efficient learning with quantized KLMS and L1 regularization. IJCNN 2012: 1-6 - [c244]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]Erion Hasanbelliu, Kittipat Kampa, José C. Príncipe, James Tory Cobb:
Online learning using a Bayesian surprise metric. IJCNN 2012: 1-8 - [c242]Evan Kriminger, José C. Príncipe, Choudur Lakshminarayan:
Nearest Neighbor Distributions for imbalanced classification. IJCNN 2012: 1-5 - [c241]Rosha Pokharel, José C. Príncipe:
Kernel classifier with Correntropy loss. IJCNN 2012: 1-6 - [c240]Songlin Zhao, Badong Chen, José C. Príncipe:
An adaptive kernel width update for correntropy. IJCNN 2012: 1-5 - [c239]Rakesh Chalasani, José C. Príncipe:
Temporal context in object recognition. MLSP 2012: 1-6 - [i3]Luis Gonzalo Sánchez Giraldo, Murali Rao, José C. Príncipe:
Measures of Entropy from Data Using Infinitely Divisible Kernels. CoRR abs/1211.2459 (2012) - [i2]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]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]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]Abhishek Singh, José C. Príncipe:
Information theoretic learning with adaptive kernels. Signal Process. 91(2): 203-213 (2011) - [j139]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]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]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]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]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]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]Alexander Singh-Alvarado, José C. Príncipe:
A real-time reconstruction algorithm for the integrate and fire sampler. ACSCC 2011: 1093-1097 - [c237]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]Bilal H. Fadlallah, Sohan Seth, Andreas Keil
, José C. Príncipe:
Robust EEG preprocessing for dependence-based condition discrimination. EMBC 2011: 1407-1410 - [c235]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]Jihye Bae
, Pratik Chhatbar, Joseph T. Francis
, Justin C. Sanchez, José C. Príncipe:
Reinforcement learning via kernel temporal difference. EMBC 2011: 5662-5665 - [c233]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]Thomas Villmann, José C. Príncipe, Andrzej Cichocki:
Information theory related learning. ESANN 2011 - [c231]Alexander Singh-Alvarado, José Carlos Príncipe:
From compressive to adaptive sampling of neural and ECG recordings. ICASSP 2011: 633-636 - [c230]Il Park
, Sohan Seth, Murali Rao, José Carlos Príncipe:
Estimation of symmetric chi-square divergence for point processes. ICASSP 2011: 2016-2019 - [c229]Sohan Seth, Austin J. Brockmeier
, José Carlos Príncipe:
A metric approach toward point process divergence. ICASSP 2011: 2104-2107 - [c228]Luis Gonzalo Sánchez Giraldo, José Carlos Príncipe:
An efficient rank-deficient computation of the Principle of Relevant Information. ICASSP 2011: 2176-2179 - [c227]Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan:
Modified embedding for multi-regime detection in nonstationary streaming data. ICASSP 2011: 2256-2259 - [c226]Goktug T. Cinar
, José C. Príncipe:
Adaptive background estimation using an information theoretic cost for hidden state estimation. IJCNN 2011: 489-494 - [c225]Songlin Zhao, José Carlos Príncipe:
A nonparametric information theoretic approach for change detection in time series. IJCNN 2011: 1281-1284 - [c224]Pingping Zhu, Badong Chen, José C. Príncipe:
Extended Kalman filter using a kernel recursive least squares observer. IJCNN 2011: 1402-1408 - [c223]Rakesh Chalasani, José C. Príncipe:
Sparse analog associative memory via L1-regularization and thresholding. IJCNN 2011: 1994-1999 - [c222]Songlin Zhao, Badong Chen, José C. Príncipe:
Kernel adaptive filtering with maximum correntropy criterion. IJCNN 2011: 2012-2017 - [c221]Kittipat Kampa, Erion Hasanbelliu, José C. Príncipe:
Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians. IJCNN 2011: 2578-2585 - [c220]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]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]Manu Rastogi, Alexander Singh-Alvarado, John G. Harris, José C. Príncipe:
Integrate and fire circuit as an ADC replacement. ISCAS 2011: 2421-2424 - [c217]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]Austin J. Brockmeier
, José C. Príncipe, Babak Mahmoudi, Justin C. Sanchez:
Efficient temporal decomposition of local field potentials. MLSP 2011: 1-6 - [c215]Luis G. Sánchez Giraldo, José C. Príncipe:
A reproducing kernel Hilbert space formulation of the principle of relevant information. MLSP 2011: 1-6 - [c214]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]Kittipat Kampa, Duangmanee Putthividhya, José C. Príncipe:
Irregular Tree-Structured Bayesian Network for image segmentation. MLSP 2011: 1-6 - [c212]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]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]James Tory Cobb, José C. Príncipe:
Autocorrelation features for synthetic aperture sonar image seabed segmentation. SMC 2011: 3341-3346 - [i1]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]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]Robert Jenssen, José Carlos Príncipe:
Information theoretic clustering. Scholarpedia 5(10): 5189 (2010) - [j131]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]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]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]Diego Álvarez-Estévez
, José Carlos Príncipe, Vicente Moret-Bonillo
:
Information Theoretic fuzzy modeling for regression. FUZZ-IEEE 2010: 1-5 - [c208]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]Pablo A. Vera, Pablo A. Estévez
, José Carlos Príncipe:
Linear Projection Method Based on Information Theoretic Learning. ICANN (3) 2010: 178-187 - [c206]Steven Van Vaerenbergh
, Ignacio Santamaría
, Weifeng Liu, José C. Príncipe:
Fixed-budget kernel recursive least-squares. ICASSP 2010: 1882-1885 - [c205]Abhishek Singh, José C. Príncipe:
Kernel width adaptation in information theoretic cost functions. ICASSP 2010: 2062-2065 - [c204]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]Abhishek Singh, José C. Príncipe:
A closed form recursive solution for Maximum Correntropy training. ICASSP 2010: 2070-2073 - [c202]Kittipat Kampa, José C. Príncipe, K. Clint Slatton:
Dynamic factor graphs: A novel framework for multiple features data fusion. ICASSP 2010: 2106-2109 - [c201]Il Park
, José C. Príncipe:
Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures. ICASSP 2010: 5442-5445 - [c200]Sohan Seth, José C. Príncipe:
Variable Selection: A Statistical Dependence Perspective. ICMLA 2010: 931-936 - [c199]Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José C. Príncipe:
A Recursive Online Kernel PCA Algorithm. ICPR 2010: 169-172 - [c198]Sohan Seth, José C. Príncipe:
A Test of Granger Non-causality Based on Nonparametric Conditional Independence. ICPR 2010: 2620-2623 - [c197]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]Rakesh Chalasani, José C. Príncipe:
Self organizing maps with the correntropy induced metric. IJCNN 2010: 1-6 - [c195]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]Daesung Kang, Jooyoung Park, José C. Príncipe:
Binary classification based on SVDD projection and nearest neighbors. IJCNN 2010: 1-6 - [c193]Abhishek Singh, José C. Príncipe:
A loss function for classification based on a robust similarity metric. IJCNN 2010: 1-6 - [c192]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]Stefan Craciun, Alan D. George, Herman Lam, José C. Príncipe:
A parallel hardware architecture for information-theoretic adaptive filtering. HPRCTA@SC 2010: 1-10 - [p1]José C. Príncipe:
Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces. Information Theoretic Learning 2010: 1-45 - [e3]José C. Príncipe:
Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives. Springer 2010, ISBN 978-1-4419-1569-6 [contents]
2000 – 2009
- 2009
- [j128]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]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]Karim G. Oweiss, José C. Príncipe, Don H. Johnson:
Statistical Signal Processing in Neuroscience. EURASIP J. Adv. Signal Process. 2009 (2009) - [j125]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]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) - [j123]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) - [j122]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) - [j121]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) - [j120]Kyu-Hwa Jeong, Weifeng Liu, Seungju Han
, Erion Hasanbelliu, José C. Príncipe:
The correntropy MACE filter. Pattern Recognit. 42(5): 871-885 (2009) - [j119]Sudhir Rao, Allan de Medeiros Martins
, José C. Príncipe:
Mean shift: An information theoretic perspective. Pattern Recognit. Lett. 30(3): 222-230 (2009) - [j118]Aysegul Gunduz
, José Carlos Príncipe:
Correntropy as a novel measure for nonlinearity tests. Signal Process. 89(1): 14-23 (2009) - [j117]Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
Kernel least mean square algorithm with constrained growth. Signal Process. 89(3): 257-265 (2009) - [j116]Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
A low complexity robust detector in impulsive noise. Signal Process. 89(10): 1902-1909 (2009) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]Weifeng Liu, Il Park
, Yiwen Wang, José C. Príncipe:
Extended kernel recursive least squares algorithm. IEEE Trans. Signal Process. 57(10): 3801-3814 (2009) - [c190]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 - [c189]Sohan Seth, Il Park, José C. Príncipe:
A new nonparametric measure of conditional independence. ICASSP 2009: 2981-2984 - [c188]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 - [c187]Sohan Seth, José Carlos Príncipe:
On speeding up computation in information theoretic learning. IJCNN 2009: 2883-2887 - [c186]Abhishek Singh, José Carlos Príncipe:
Using Correntropy as a cost function in linear adaptive filters. IJCNN 2009: 2950-2955 - [c185]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]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 - [c183]Justin C. Sanchez, José Carlos Príncipe:
Prerequesites for Symbiotic Brain-Machine Interfaces. SMC 2009: 1736-1741 - [c182]Erion Hasanbelliu, José Carlos Príncipe, K. Clint Slatton:
Correntropy Based Matched Filtering for Classification in Sidescan Sonar Imagery. SMC 2009: 2757-2762 - [c181]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]Dongliang Duan, Liuqing Yang, José C. Príncipe:
Cooperative diversity of spectrum sensing in cognitive radio networks. WCNC 2009: 745-750 - [e2]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] - [r1]Deniz Erdogmus, José Carlos Príncipe:
Information Theoretic Learning. Encyclopedia of Artificial Intelligence 2009: 902-909 - 2008
- [j110]Shalom Darmanjian, José C. Príncipe:
Boosted and Linked Mixtures of HMMs for Brain-Machine Interfaces. EURASIP J. Adv. Signal Process. 2008 (2008) - [j109]Weifeng Liu, José C. Príncipe:
Kernel Affine Projection Algorithms. EURASIP J. Adv. Signal Process. 2008 (2008) - [j108]Kyu-Hwa Jeong, José C. Príncipe:
Enhancing the correntropy MACE filter with random projections. Neurocomputing 72(1-3): 102-111 (2008) - [j107]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]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) - [j105]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) - [j104]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]Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
The Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 56(2): 543-554 (2008) - [j102]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]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]Il Park
, José Carlos Príncipe:
Correntropy based Granger causality. ICASSP 2008: 3605-3608 - [c178]Sohan Seth, José C. Príncipe:
Compressed signal reconstruction using the correntropy induced metric. ICASSP 2008: 3845-3848 - [c177]António R. C. Paiva, Il Park
, José C. Príncipe:
Reproducing kernel Hilbert spaces for spike train analysis. ICASSP 2008: 5212-5215 - [c176]Weifeng Liu, José C. Príncipe:
The wellposedness analysis of the kernel adaline. IJCNN 2008: 1062-1067 - [c175]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]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
- [b1]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]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) - [j99]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]Mustafa C. Ozturk, Dongming Xu, José Carlos Príncipe:
Analysis and Design of Echo State Networks. Neural Comput. 19(1): 111-138 (2007) - [j97]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]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]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]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]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]Allan Kardec Barros
, José Carlos Príncipe, Deniz Erdogmus:
Independent Component Analysis and Blind Source Separation. Signal Process. 87(8): 1817-1818 (2007) - [j91]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]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]Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
The Laplacian Classifier. IEEE Trans. Signal Process. 55(7-1): 3262-3271 (2007) - [j88]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]Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
A New Information Theoretic Measure of PDF Symmetry. ICASSP (2) 2007: 529-532 - [c172]Kyu-Hwa Jeong, Seungju Han, José C. Príncipe:
The Fast Correntropy Mace Filter. ICASSP (2) 2007: 613-616 - [c171]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]Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
Kernel LMS. ICASSP (3) 2007: 1421-1424 - [c169]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 - [c168]José C. Príncipe:
Brain Machine Interfaces: Modeling Strategies for Neural Signal Processing. DSP 2007: 14 - [c167]Sudhir Rao, Seungju Han
, José Carlos Príncipe:
Information Theoretic Vector Quantization with Fixed Point Updates. IJCNN 2007: 1020-1024 - [c166]António R. C. Paiva, Sudhir Rao, Il Park
, José C. Príncipe:
Spectral Clustering of Synchronous Spike Trains. IJCNN 2007: 1831-1835 - [c165]Sudhir Rao, António R. C. Paiva, José C. Príncipe:
A Novel Weighted LBG Algorithm for Neural Spike Compression. IJCNN 2007: 1883-1887 - [c164]Jian-Wu Xu, Hovagim Bakardjian
, Andrzej Cichocki
, José C. Príncipe:
A New Nonlinear Similarity Measure for Multichannel Biological Signals. IJCNN 2007: 2046-2051 - [c163]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]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]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]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 - [c159]Seungju Han, Sudhir Rao, Deniz Erdogmus, José C. Príncipe:
A Novel Switching Scheme Between Adaptive Information Algorithms. IJCNN 2007: 2840-2845 - [c158]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 - [c157]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]Dongming Xu, José Carlos Príncipe:
Computation in a reduced KII network based on synchronization. Int. J. Intell. Syst. 21(9): 919-935 (2006) - [j86]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]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]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]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]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]José C. Príncipe:
Editorial. IEEE Trans. Biomed. Eng. 53(2): 153-154 (2006) - [j80]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]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]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]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]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]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]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]Jack DiGiovanna, Justin C. Sanchez, José C. Príncipe:
Improved Linear BMI Systems via Population Averaging. EMBC 2006: 1608-1611 - [c155]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]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]António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Gravity Transform for Input Conditioning in Brain Machine Interfaces. EMBC 2006: 4261-4264 - [c152]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]Ruijiang Li, José C. Príncipe:
Blinking Artifact Removal in Cognitive EEG Data Using ICA. EMBC 2006: 5273-5276 - [c150]Justin C. Sanchez, Paul R. Carney, José C. Príncipe:
Analysis of Amplitude Modulated Control Features for ECoG Neuroprosthetics. EMBC 2006: 5468-5471 - [c149]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]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]Pengfei Li, José C. Príncipe, Rizwan Bashirullah:
A Wireless Power Interface for Rechargeable Battery Operated Neural Recording Implants. EMBC 2006: 6253-6256 - [c146]Anant Hegde, José C. Príncipe:
On Spatio-Temporal Dependency Changes in Epileptic Intracranial EEG: A Statistical Assessment. EMBC (Supplement) 2006: 6711-6714 - [c145]Seungju Han, Sudhir Rao, José Carlos Príncipe:
Estimating the Information Potential with the Fast Gauss Transform. ICA 2006: 82-89 - [c144]António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe:
Kernel Principal Components Are Maximum Entropy Projections. ICA 2006: 846-853 - [c143]Dongho Han, José C. Príncipe, Liuqing Yang, Ignacio Santamaría, Javier Vía:
Robust Blind Simo Channel Estimation Using Adatron. ICASSP (4) 2006: 125-128 - [c142]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]Seungju Han
, Sudhir Rao, Kyu-Hwa Jeong, José C. Príncipe:
A Normalized Minimum Error Entropy Stochastic Algorithm. ICASSP (5) 2006: 609-612 - [c140]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]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]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]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]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]Yiwen Wang, António R. C. Paiva, José C. Príncipe:
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. IJCNN 2006: 1846-1850 - [c134]Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe:
Nonlinear Component Analysis Based on Correntropy. IJCNN 2006: 1851-1855 - [c133]Aysegul Gunduz
, Anant Hegde, José C. Príncipe:
Correntropy as a Novel Measure for Nonlinearity Tests. IJCNN 2006: 1856-1862 - [c132]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]Robert Jenssen, Deniz Erdogmus, José C. Príncipe:
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. IJCNN 2006: 4904-4911 - [c130]Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
Correntropy: A Localized Similarity Measure. IJCNN 2006: 4919-4924 - [c129]Du Chen, Yuan Li, Dongming Xu, John G. Harris, José Carlos Príncipe:
Asynchronous biphasic pulse signal coding and its CMOS realization. ISCAS 2006 - [c128]Pengfei Li, Rizwan Bashirullah, José Carlos Príncipe:
A low power battery management system for rechargeable wireless implantable electronics. ISCAS 2006 - [c127]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 - [e1]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
- [j73]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]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) - [j71]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) - [j70]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]Tue Lehn-Schiøler, Anant Hegde, Deniz Erdogmus, José Carlos Príncipe:
Vector quantization using information theoretic concepts. Nat. Comput. 4(1): 39-51 (2005) - [j68]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]Deniz Erdogmus, José Carlos Príncipe:
Information Theoretic Signal Processing. Signal Process. 85(5): 873-874 (2005) - [j66]Deniz Erdogmus, Rati Agrawal, José Carlos Príncipe:
A mutual information extension to the matched filter. Signal Process. 85(5): 927-935 (2005) - [j65]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) - [j64]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]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]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]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) - [c126]Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
Minimum error entropy Luenberger observer. ACC 2005: 1923-19283 - [c125]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 - [c124]Ignacio Santamaría, Deniz Erdogmus, Rati Agrawal, José C. Príncipe:
Robust matched filtering in the feature space. EUSIPCO 2005: 1-4 - [c123]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 - [c122]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]Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Supervised training of adaptive systems with partially labeled data. ICASSP (5) 2005: 321-324 - [c120]Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
The Laplacian spectral classifier. ICASSP (5) 2005: 325-328 - [c119]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]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]Mustafa C. Ozturk, José C. Príncipe:
Computing with transiently stable states. IJCNN 2005: 1467-1472 - [c116]Dongming Xu, Jing Lan, José C. Príncipe:
Direct adaptive control: an echo state network and genetic algorithm approach. IJCNN 2005: 1483-1486 - [c115]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]Dongho Han, Sung-Phil Kim, José C. Príncipe:
Sparse channel estimation with regularization method using convolution inequality for entropy. IJCNN 2005: 2359-2362 - [c113]Yiwen Wang, Sung-Phil Kim, José C. Príncipe:
Comparison of TDNN training algorithms in brain machine interfaces. IJCNN 2005: 2459-2462 - [c112]José Carlos Príncipe:
Information Theoretic Learning. PRIS 2005 - 2004
- [j60]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) - [j59]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]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) - [j57]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) - [j56]José Carlos Príncipe:
Editorial. IEEE Trans. Biomed. Eng. 51(1): 1-2 (2004) - [j55]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) - [j54]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]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]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]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]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) - [j49]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]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) - [c111]Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe:
Gaussianizing Transformations for ICA. ICA 2004: 26-32 - [c110]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 - [c109]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]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]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]Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
Accurate linear parameter estimation in colored noise. ICASSP (2) 2004: 689-692 - [c105]Tue Lehn-Schiøler, Deniz Erdogmus, José C. Príncipe:
Parzen particle filters. ICASSP (5) 2004: 781-784 - [c104]Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Nonlinear independent component analysis by homomorphic transformation of the mixtures. IJCNN 2004 - [c103]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]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]Robert Jenssen, Torbjørn Eltoft, José C. Príncipe:
Information theoretic spectral clustering. IJCNN 2004 - [c100]Mustafa C. Ozturk, Dongming Xu, José C. Príncipe:
Modified Freeman model: a stability analysis and application to pattern recognition. IJCNN 2004: 3207-3212 - [c99]José C. Príncipe:
Welcome. IJCNN 2004 - [c98]Dongming Xu, José Carlos Príncipe, John G. Harris:
Logic computation using coupled neural oscillators. ISCAS (5) 2004: 788-791 - [c97]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
- [j47]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) - [j46]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) - [j45]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) - [j44]Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe:
Online entropy manipulation: stochastic information gradient. IEEE Signal Process. Lett. 10(8): 242-245 (2003) - [j43]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) - [j42]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) - [c96]Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft:
Information Force Clustering Using Directed Trees. EMMCVPR 2003: 68-82 - [c95]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 - [c94]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 - [c93]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 - [c92]