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Konstantinos Slavakis
Konstantinos Slavakis
Tokyo Institute of Technology, Department of Information and Communications Engineering
Bestätigte E-Mail-Adresse bei m.titech.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2892014
Adaptive learning in a world of projections
S Theodoridis, K Slavakis, I Yamada
IEEE Signal Processing Magazine 28 (1), 97-123, 2010
2572010
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
1832010
Adaptive robust distributed learning in diffusion sensor networks
S Chouvardas, K Slavakis, S Theodoridis
IEEE Transactions on Signal Processing 59 (10), 4692-4707, 2011
1822011
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
1612002
Online kernel-based classification using adaptive projection algorithms
K Slavakis, S Theodoridis, I Yamada
IEEE Transactions on Signal Processing 56 (7), 2781-2796, 2008
1282008
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
1042012
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
1042012
Robust wideband beamforming by the hybrid steepest descent method
K Slavakis, I Yamada
IEEE Transactions on Signal Processing 55 (9), 4511-4522, 2007
1012007
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
962006
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
812009
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
742010
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
682012
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
672008
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
672007
Online learning in reproducing kernel Hilbert spaces
K Slavakis, P Bouboulis, S Theodoridis
Academic Press Library in Signal Processing 1, 883-987, 2014
592014
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
572014
Sparsity-aware learning and compressed sensing: An overview
S Theodoridis, Y Kopsinis, K Slavakis
arXiv preprint arXiv:1211.5231, 2012
572012
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
542013
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
522016
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