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ORCIDSergios Theodoridis
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2020 – today
- 2024
[c123]Rui Zhou, Wenqiang Pu, Licheng Zhao, Ming-Yi You, Qingjiang Shi, Sergios Theodoridis:
Cooperative Sensing Via Matrix Factorization of the Partially Received Sample Covariance Matrix. ICASSP 2024: 8881-8885- [c122]Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis:
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. ICASSP 2024: 12881-12885 - [c121]Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan:
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners. ICLR 2024 - 2023
- [c120]Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis:
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training. ICASSP 2023: 1-5 - [c119]Manuel Morante
, Jan Østergaard, Sergios Theodoridis:
Interpretable Nonnegative Incoherent Deep Dictionary Learning for FMRI Data Analysis. ICASSP 2023: 1-5 - [i32]Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan:
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners. CoRR abs/2306.00561 (2023) - [i31]Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis:
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. CoRR abs/2309.01074 (2023) - 2022
- [j96]Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang:
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Process. Mag. 39(6): 18-52 (2022) - [j95]Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis:
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior. IEEE Trans. Signal Process. 70: 1834-1849 (2022) - [c118]Charis Mesaritakis, George Sarantoglou, Sergios Theodoridis, Adonis Bogris:
Bayesian Training in Photonic Neural Meshes. COMPENG 2022: 1-5 - [c117]Payam Shahsavari Baboukani, Sergios Theodoridis, Jan Østergaard:
A Stimuli-Relevant Directed Dependency Index for Time Series. ICASSP 2022: 5812-5816 - [i30]George Sarantoglou, Adonis Bogris, Charis Mesaritakis, Sergios Theodoridis:
Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing. CoRR abs/2203.15806 (2022) - [i29]Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang:
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling. CoRR abs/2205.14283 (2022) - 2021
- [j94]Manuel Morante, Yannis Kopsinis, Christos Chatzichristos, Athanassios Protopapas, Sergios Theodoridis:
Enhanced design matrix for task-related fMRI data analysis. NeuroImage 245: 118719 (2021) - [j93]Rama Chellappa, Sergios Theodoridis, André van Schaik:
Advances in Machine Learning and Deep Neural Networks. Proc. IEEE 109(5): 607-611 (2021) - [c116]Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis:
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. AISTATS 2021: 3862-3870 - [c115]Konstantinos P. Panousis, Soritios Chatzis, Sergios Theodoridis:
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition. ISVC (2) 2021: 67-80 - [c114]Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Dialog Speech Sentiment Classification for Imbalanced Datasets. SPECOM 2021: 460-471 - [i28]Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis:
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. CoRR abs/2101.01121 (2021) - [i27]Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Dialog speech sentiment classification for imbalanced datasets. CoRR abs/2109.07228 (2021) - [i26]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness. CoRR abs/2112.02671 (2021) - 2020
- [j92]Manuel Morante, Yannis Kopsinis, Sergios Theodoridis, Athanassios Protopapas:
Information Assisted Dictionary Learning for fMRI Data Analysis. IEEE Access 8: 90052-90068 (2020) - [j91]Ioannis Tomkos, Dimitrios Klonidis, Evangelos Pikasis, Sergios Theodoridis:
Toward the 6G Network Era: Opportunities and Challenges. IT Prof. 22(1): 34-38 (2020) - [j90]Feng Yin, Lishuo Pan, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo, Abdelhak M. Zoubir:
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. IEEE Trans. Signal Process. 68: 5260-5275 (2020) - [c113]Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui:
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. UAI 2020: 759-768 - [i25]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition. CoRR abs/2002.05809 (2020) - [i24]Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang Cui:
FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. CoRR abs/2003.03697 (2020) - [i23]Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel:
Early soft and flexible fusion of EEG and fMRI via tensor decompositions. CoRR abs/2005.07134 (2020) - [i22]Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis:
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior. CoRR abs/2009.02472 (2020)
2010 – 2019
- 2019
- [c112]Christos Chatzichristos, Michiel Vandecappelle, Eleftherios Kofidis, Sergios Theodoridis, Lieven De Lathauwer, Sabine Van Huffel:
Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach. GlobalSIP 2019: 1-5 - [c111]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Nonparametric Bayesian Deep Networks with Local Competition. ICML 2019: 4980-4988 - [c110]Youngjoo Seo, Manuel Morante, Yannis Kopsinis, Sergios Theodoridis:
Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net. ICONIP (3) 2019: 608-620 - [i21]Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo:
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. CoRR abs/1904.09559 (2019) - 2018
- [j89]Pantelis Bouboulis, Symeon Chouvardas, Sergios Theodoridis:
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features. IEEE Trans. Signal Process. 66(7): 1920-1932 (2018) - [c109]Christos Chatzichristos, Mike Davies, Javier Escudero, Eleftherios Kofidis, Sergios Theodoridis:
Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions. EUSIPCO 2018: 56-60 - [c108]Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis:
Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression. FUSION 2018: 47-54 - [c107]Dimitris Ampeliotis, Christos Mavrokefalidis, Kostas Berberidis, Sergios Theodoridis:
Distributed Set-Theoretic Parameter Estimation in Networks with Ambiguous Measurements. SPAWC 2018: 1-5 - [r2]Sergios Theodoridis, Konstantinos Koutroumbas:
Spectral Clustering. Encyclopedia of Database Systems (2nd ed.) 2018 - [i20]Youngjoo Seo, Manuel Morante, Yannis Kopsinis, Sergios Theodoridis:
Unsupervised learning of the brain connectivity dynamic using residual D-net. CoRR abs/1804.07672 (2018) - [i19]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Nonparametric Bayesian Deep Networks with Local Competition. CoRR abs/1805.07624 (2018) - 2017
- [j88]Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen, Sergios Theodoridis, Abdelhak M. Zoubir:
Heterogeneous and Multitask Wireless Sensor Networks - Algorithms, Applications, and Challenges. IEEE J. Sel. Top. Signal Process. 11(3): 450-465 (2017) - [j87]Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis:
Robust Nonlinear Regression: A Greedy Approach Employing Kernels With Application to Image Denoising. IEEE Trans. Signal Process. 65(16): 4309-4323 (2017) - [j86]Sergios Theodoridis:
A Message From the Outgoing Editor-in-Chief. IEEE Trans. Signal Process. 65(24): 6349 (2017) - [c106]Christos Chatzichristos, Eleftherios Kofidis, Sergios Theodoridis:
PARAFAC2 and its block term decomposition analog for blind fMRI source unmixing. EUSIPCO 2017: 2081-2085 - [c105]Christos Chatzichristos, Eleftherios Kofidis, Yiannis Kopsinis, Manuel Morante Moreno, Sergios Theodoridis:
Higher-Order Block Term Decomposition for Spatially Folded fMRI Data. LVA/ICA 2017: 3-15 - [c104]Manuel Morante Moreno, Yannis Kopsinis, Eleftherios Kofidis, Christos Chatzichristos, Sergios Theodoridis:
Assisted dictionary learning for FMRI data analysis. ICASSP 2017: 806-810 - [i18]Pantelis Bouboulis, Symeon Chouvardas, Sergios Theodoridis:
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features. CoRR abs/1703.08131 (2017) - 2016
- [c103]Dimitris Ampeliotis, Christos Mavrokefalidis, Kostas Berberidis, Sergios Theodoridis:
Adapt-Align-Combine for diffusion-based distributed dictionary learning. EUSIPCO 2016: 463-467 - [c102]Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis:
Efficient KLMS and KRLS algorithms: A random fourier feature perspective. SSP 2016: 1-5 - [p2]Symeon Chouvardas, Yannis Kopsinis, Sergios Theodoridis:
Sparsity-aware distributed learning. Big Data over Networks 2016: 37-65 - [i17]Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis:
Robust non-linear regression analysis: A greedy approach employing kernels and application to image denoising. CoRR abs/1601.00595 (2016) - [i16]Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis:
Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective. CoRR abs/1606.03685 (2016) - [i15]Christos Chatzichristos, Eleftherios Kofidis, Giannis Kopsinis, Sergios Theodoridis:
Higher-Order Block Term Decomposition for Spatially Folded fMRI Data. CoRR abs/1607.05073 (2016) - 2015
- [j85]Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis, Leoni Evaggelatou-Dalla:
Complex Support Vector Machines for Regression and Quaternary Classification. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1260-1274 (2015) - [j84]Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis:
Greedy Sparsity-Promoting Algorithms for Distributed Learning. IEEE Trans. Signal Process. 63(6): 1419-1432 (2015) - [j83]Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis:
Robust Linear Regression Analysis - A Greedy Approach. IEEE Trans. Signal Process. 63(15): 3872-3887 (2015) - [j82]Symeon Chouvardas, Yannis Kopsinis, Sergios Theodoridis:
Robust Subspace Tracking With Missing Entries: The Set-Theoretic Approach. IEEE Trans. Signal Process. 63(19): 5060-5070 (2015) - [c101]Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis:
Distributed robust subspace tracking. EUSIPCO 2015: 2531-2535 - [c100]Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis:
Robust regression in RKHS - An overview. EUSIPCO 2015: 2874-2878 - [c99]Aggelos Pikrakis, Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis:
Pattern classification formulated as a missing data task: The audio genre classification case. ICASSP 2015: 2026-2030 - [c98]Symeon Chouvardas, Yannis Kopsinis, Sergios Theodoridis:
An online algorithm for distributed dictionary learning. ICASSP 2015: 3292-3296 - [c97]Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis:
Iterative randomized robust linear regression. ICASSP 2015: 5436-5440 - [c96]Symeon Chouvardas, Michael Muma, Khadidja Hamaidi, Sergios Theodoridis, Abdelhak M. Zoubir:
Distributed robust labeling of audio sources in heterogeneous wireless sensor networks. ICASSP 2015: 5783-5787 - 2014
- [j81]Christos Mavrokefalidis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis:
Preamble-based channel estimation in single-relay networks using FBMC/OQAM. EURASIP J. Adv. Signal Process. 2014: 66 (2014) - [j80]Yong Lian, Sergios Theodoridis, George Yuan, Shanthi Pavan:
Guest Editorial Special Section on the 2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013). IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(5): 1301-1303 (2014) - [c95]Pantelis Bouboulis, Georgios K. Papageorgiou, Sergios Theodoridis:
Robust image denoising in RKHS via orthogonal matching pursuit. CIP 2014: 1-6 - [c94]Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis, Konstantinos Themelis:
Robust linear regression analysis - The greedy way. EUSIPCO 2014: 16-20 - [c93]Aggelos Pikrakis, Sergios Theodoridis:
Speech-music discrimination: A deep learning perspective. EUSIPCO 2014: 616-620 - [c92]Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis:
Sparsity-aware learning in the context of echo cancelation: A set theoretic estimation approach. EUSIPCO 2014: 1846-1850 - [c91]Yannis Kopsinis, Harris V. Georgiou, Sergios Theodoridis:
FMRI unmixing via properly adjusted dictionary learning. EUSIPCO 2014: 2075-2079 - [c90]Symeon Chouvardas, Yannis Kopsinis, Sergios Theodoridis:
An Adaptive Projected Subgradient based algorithm for robust subspace tracking. ICASSP 2014: 5497-5501 - [c89]Georgios Chrysochoidis, Georgios Kouroupetroglou, Sergios Theodoridis:
Vibrato detection in Byzantine Chant Music. ISCCSP 2014: 636-639 - [c88]Christos Mavrokefalidis, Athanasios A. Rontogiannis, Eleftherios Kofidis, Antonios Beikos, Sergios Theodoridis:
Efficient adaptive equalization of doubly dispersive channels in MIMO-FBMC/OQAM systems. ISWCS 2014: 308-312 - [i14]Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis, Konstantinos Themelis:
Robust Linear Regression Analysis - A Greedy Approach. CoRR abs/1409.4279 (2014) - [i13]Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis:
Greedy Sparsity-Promoting Algorithms for Distributed Learning. CoRR abs/1410.3682 (2014) - 2013
- [j79]Ali H. Sayed, Sergio Barbarossa, Sergios Theodoridis, Isao Yamada:
Introduction to the issue on adaptation and learning over complex networks. IEEE J. Sel. Top. Signal Process. 7(2): 161-162 (2013) - [j78]Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis:
Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction. IEEE J. Sel. Top. Signal Process. 7(2): 257-273 (2013) - [j77]Eleftherios Kofidis, Dimitrios Katselis, Athanasios A. Rontogiannis, Sergios Theodoridis:
Preamble-based channel estimation in OFDM/OQAM systems: A review. Signal Process. 93(7): 2038-2054 (2013) - [j76]Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada:
Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise. IEEE Signal Process. Lett. 20(7): 729-732 (2013) - [j75]Ali H. Sayed, Sergio Barbarossa, Sergios Theodoridis, Isao Yamada:
Adaptation and Learning over Complex Networks [From the Guest Editors]. IEEE Signal Process. Mag. 30(3): 14-15 (2013) - [j74]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) - [j73]Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis, Stephen McLaughlin:
Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces. IEEE Trans. Signal Process. 61(15): 3760-3773 (2013) - [c87]Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis, Symeon Chouvardas:
Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach. ALCOSP 2013: 748-756 - [c86]Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis:
Training-based and blind algorithms for sparsity-aware distributed learning. EUSIPCO 2013: 1-5 - [c85]Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis:
New operators for fixed-point theory: The sparsity-aware learning case. EUSIPCO 2013: 1-5 - [c84]Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis:
A greedy sparsity-promoting LMS for distributed adaptive learning in diffusion networks. ICASSP 2013: 5415-5419 - [c83]Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Stephen McLaughlin:
Thresholding-based online algorithms of complexity comparable to sparse LMS methods. ISCAS 2013: 513-516 - [c82]Christos Mavrokefalidis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis:
Preamble Design for Channel Estimation in OFDM/OQAM Cooperative Systems. ISWCS 2013: 1-5 - [c81]Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis, Georgios B. Giannakis, Vassilis Kekatos:
Generalized Iterative Thresholding for Sparsity-Aware Online Volterra System Identification. ISWCS 2013: 1-5 - [c80]Pantelis Bouboulis, E. Theodoridou, Sergios Theodoridis:
Complex support vector machines for quaternary classification. MLSP 2013: 1-6 - [c79]Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis:
Robust kernel-based regression using Orthogonal Matching Pursuit. MLSP 2013: 1-6 - [c78]Christos Mavrokefalidis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis:
Optimal training design for channel estimation in OFDM/OQAM cooperative systems. SPAWC 2013: 230-234 - [i12]Eleftherios Kofidis, Dimitrios Katselis, Athanasios A. Rontogiannis, Sergios Theodoridis:
Preamble-based Channel Estimation in OFDM/OQAM Systems: A Review. CoRR abs/1303.2136 (2013) - [i11]Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis:
Complex Support Vector Machines for Regression and Quaternary Classification. CoRR abs/1303.2184 (2013) - 2012
- [j72]Constantinos Rizogiannis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis:
Adaptive BLAST-type decision-feedback equalizers for DS-CDMA systems. Signal Process. 92(4): 977-988 (2012) - [j71]Konstantinos Slavakis, Pantelis Bouboulis, Sergios Theodoridis:
Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case. IEEE Trans. Neural Networks Learn. Syst. 23(2): 260-276 (2012) - [j70]Pantelis Bouboulis, Konstantinos Slavakis, Sergios Theodoridis:
Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients. IEEE Trans. Neural Networks Learn. Syst. 23(3): 425-438 (2012) - [j69]Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis:
The Augmented Complex Kernel LMS. IEEE Trans. Signal Process. 60(9): 4962-4967 (2012) - [j68]Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis:
A Sparsity Promoting Adaptive Algorithm for Distributed Learning. IEEE Trans. Signal Process. 60(10): 5412-5425 (2012) - [c77]Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis:
Complex support vector regression. CIP 2012: 1-6 - [c76]Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis:
Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks. EUSIPCO 2012: 1084-1088 - [c75]Dimitrios Katselis, Eleftherios Kofidis, Sergios Theodoridis:
On OFDM/OQAM receivers. EUSIPCO 2012: 2566-2570 - [c74]Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin:
Generalized thresholding sparsity-aware algorithm for low complexity online learning. ICASSP 2012: 3277-3280 - [i10]Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis:
Sparsity-Aware Learning and Compressed Sensing: An Overview. CoRR abs/1211.5231 (2012) - 2011
- [j67]Stylianos D. Tzikopoulos, Michael E. Mavroforakis, Harris V. Georgiou, Nikos Dimitropoulos, Sergios Theodoridis:
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Comput. Methods Programs Biomed. 102(1): 47-63 (2011) - [j66]Thanassis Perperis, Theodoros Giannakopoulos, Alexandros Makris, Dimitrios I. Kosmopoulos, Sofia Tsekeridou, Stavros J. Perantonis, Sergios Theodoridis:
Multimodal and ontology-based fusion approaches of audio and visual processing for violence detection in movies. Expert Syst. Appl. 38(11): 14102-14116 (2011) - [j65]Alexandros Makris, Dimitrios I. Kosmopoulos, Stavros J. Perantonis, Sergios Theodoridis:
A hierarchical feature fusion framework for adaptive visual tracking. Image Vis. Comput. 29(9): 594-606 (2011) - [j64]Sergios Theodoridis, Konstantinos Slavakis, Isao Yamada:
Adaptive Learning in a World of Projections. IEEE Signal Process. Mag. 28(1): 97-123 (2011) - [j63]Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis:
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted ell1 Balls. IEEE Trans. Signal Process. 59(3): 936-952 (2011) - [j62]Pantelis Bouboulis, Sergios Theodoridis:
Extension of Wirtinger's Calculus to Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS. IEEE Trans. Signal Process. 59(3): 964-978 (2011) - [j61]Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis:
Adaptive Robust Distributed Learning in Diffusion Sensor Networks. IEEE Trans. Signal Process. 59(10): 4692-4707 (2011) - [c73]Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis:
Widely linear kernel-based adaptive filters. EUSIPCO 2011: 941-945 - [c72]Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis:
Robust adaptive sparse system identification by using weighted l1 balls and Moreau envelopes. EUSIPCO 2011: 1924-1928 - [c71]Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis:
Trading off communications bandwidth with accuracy in adaptive diffusion networks. ICASSP 2011: 2048-2051 - [c70]Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis:
Revisiting adaptive least-squares estimation and application to online sparse signal recovery. ICASSP 2011: 4292-4295 - [c69]Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin:
Reduced complexity online sparse signal reconstruction using projections onto weighted ℓ1 balls. DSP 2011: 1-8 - [i9]Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis:
The Augmented Complex Kernel LMS. CoRR abs/1110.1075 (2011) - [i8]Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin:
Generalized Thresholding Sparsity-Aware Online Learning in a Union of Subspaces. CoRR abs/1112.0665 (2011) - [i7]Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis:
A Sparsity-Aware Adaptive Algorithm for Distributed Learning. CoRR abs/1112.5716 (2011) - 2010
- [j60]Constantinos Rizogiannis, Eleftherios Kofidis, Constantinos B. Papadias, Sergios Theodoridis:
Semi-blind maximum-likelihood joint channel/data estimation for correlated channels in multiuser MIMO networks. Signal Process. 90(4): 1209-1224 (2010) - [j59]