Modeling and optimization for big data analytics:(statistical) learning tools for our era of data deluge K Slavakis, GB Giannakis, G Mateos IEEE Signal Processing Magazine 31 (5), 18-31, 2014 | 300 | 2014 |
Adaptive learning in a world of projections S Theodoridis, K Slavakis, I Yamada IEEE Signal Processing Magazine 28 (1), 97-123, 2010 | 260 | 2010 |
Adaptive robust distributed learning in diffusion sensor networks S Chouvardas, K Slavakis, S Theodoridis IEEE Transactions on Signal Processing 59 (10), 4692-4707, 2011 | 185 | 2011 |
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted Balls Y Kopsinis, K Slavakis, S Theodoridis IEEE Transactions on Signal Processing 59 (3), 936-952, 2010 | 185 | 2010 |
An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques I Yamada, K Slavakis, K Yamada IEEE Transactions on Signal Processing 50 (5), 1091-1101, 2002 | 166 | 2002 |
Online kernel-based classification using adaptive projection algorithms K Slavakis, S Theodoridis, I Yamada IEEE Transactions on Signal Processing 56 (7), 2781-2796, 2008 | 132 | 2008 |
Robust wideband beamforming by the hybrid steepest descent method K Slavakis, I Yamada IEEE Transactions on Signal Processing 55 (9), 4511-4522, 2007 | 108 | 2007 |
A sparsity promoting adaptive algorithm for distributed learning S Chouvardas, K Slavakis, Y Kopsinis, S Theodoridis IEEE Transactions on Signal Processing 60 (10), 5412-5425, 2012 | 106 | 2012 |
The adaptive projected subgradient method over the fixed point set of strongly attracting nonexpansive mappings K Slavakis, I Yamada, N Ogura Numerical functional analysis and optimization 27 (7-8), 905-930, 2006 | 98 | 2006 |
Adaptive constrained learning in reproducing kernel Hilbert spaces: The robust beamforming case K Slavakis, S Theodoridis, I Yamada IEEE Transactions on Signal Processing 57 (12), 4744-4764, 2009 | 85 | 2009 |
Adaptive kernel-based image denoising employing semi-parametric regularization P Bouboulis, K Slavakis, S Theodoridis IEEE Transactions on Image Processing 19 (6), 1465-1479, 2010 | 78 | 2010 |
Sliding window generalized kernel affine projection algorithm using projection mappings K Slavakis, S Theodoridis EURASIP Journal on Advances in Signal Processing 2008, 1-16, 2008 | 73 | 2008 |
Adaptive learning in complex reproducing kernel Hilbert spaces employing Wirtinger's subgradients P Bouboulis, K Slavakis, S Theodoridis IEEE transactions on neural networks and learning systems 23 (3), 425-438, 2012 | 71 | 2012 |
Adaptive parallel quadratic-metric projection algorithms M Yukawa, K Slavakis, I Yamada IEEE transactions on audio, speech, and language processing 15 (5), 1665-1680, 2007 | 68 | 2007 |
Online learning in reproducing kernel Hilbert spaces K Slavakis, P Bouboulis, S Theodoridis Academic Press Library in Signal Processing 1, 883-987, 2014 | 67 | 2014 |
Stochastic approximation vis-a-vis online learning for big data analytics [lecture notes] K Slavakis, SJ Kim, G Mateos, GB Giannakis IEEE Signal Processing Magazine 31 (6), 124-129, 2014 | 60 | 2014 |
Trading off complexity with communication costs in distributed adaptive learning via Krylov subspaces for dimensionality reduction S Chouvardas, K Slavakis, S Theodoridis IEEE Journal of Selected Topics in Signal Processing 7 (2), 257-273, 2013 | 58 | 2013 |
Sparsity-aware learning and compressed sensing: An overview S Theodoridis, Y Kopsinis, K Slavakis Academic Press Library in Signal Processing 1, 1271-1377, 2014 | 56 | 2014 |
Multi-kernel based nonlinear models for connectivity identification of brain networks GV Karanikolas, GB Giannakis, K Slavakis, RM Leahy 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 55 | 2016 |
Adaptive algorithm for sparse system identification using projections onto weighted ℓ1balls K Slavakis, Y Kopsinis, S Theodoridis 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 48 | 2010 |