Konstantinos Slavakis
Orcid: 0000-0002-3370-3154
According to our database1,
Konstantinos Slavakis
authored at least 92 papers
between 1999 and 2024.
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Bibliography
2024
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering.
CoRR, 2024
2023
Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering.
CoRR, 2023
Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.
IEEE Trans. Computational Imaging, 2022
online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering.
CoRR, 2022
2021
Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case.
Signal Process., 2021
Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds.
Proceedings of the IEEE International Conference on Acoustics, 2021
Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
IEEE Trans. Medical Imaging, 2020
IEEE Signal Process. Lett., 2020
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
The Stochastic Fejér-Monotone Hybrid Steepest Descent Method and the Hierarchical RLS.
IEEE Trans. Signal Process., 2019
2018
IEEE Trans. Signal Inf. Process. over Networks, 2018
MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Fast Projection-Based Solvers for the Non-Convex Quadratically Constrained Feasibility Problem.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case.
CoRR, 2017
M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Clustering time-varying connectivity networks by riemannian geometry: The brain-network case.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Multi-kernel based nonlinear models for connectivity identification of brain networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes].
IEEE Signal Process. Mag., 2014
Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge.
IEEE Signal Process. Mag., 2014
Online dictionary learning from big data using accelerated stochastic approximation algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Linear minimum mean-square error estimation based on high-dimensional data with missing values.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
IEEE Trans. Signal Process., 2013
Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise.
IEEE Signal Process. Lett., 2013
The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning.
SIAM J. Optim., 2013
Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction.
IEEE J. Sel. Top. Signal Process., 2013
Generalized Iterative Thresholding for Sparsity-Aware Online Volterra System Identification.
Proceedings of the ISWCS 2013, 2013
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Online robust portfolio risk management using total least-squares and parallel splitting algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013
2012
IEEE Trans. Signal Process., 2012
Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case.
IEEE Trans. Neural Networks Learn. Syst., 2012
Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients.
IEEE Trans. Neural Networks Learn. Syst., 2012
Generalized thresholding sparsity-aware algorithm for low complexity online learning.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted ell<sub>1</sub> Balls.
IEEE Trans. Signal Process., 2011
IEEE Trans. Signal Process., 2011
CoRR, 2011
Reduced complexity online sparse signal reconstruction using projections onto weighted ℓ1 balls.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011
Revisiting adaptive least-squares estimation and application to online sparse signal recovery.
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Robust adaptive sparse system identification by using weighted l1 balls and Moreau envelopes.
Proceedings of the 19th European Signal Processing Conference, 2011
2010
IEEE Trans. Image Process., 2010
Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010
Asymptotic minimization of sequences of loss functions constrained by families of quasi-nonexpansive mappings and its application to online learning
CoRR, 2010
Online Sparse System Identification and Signal Reconstruction using Projections onto Weighted ℓ<sub>1</sub> Balls
CoRR, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Adaptive algorithm for sparse system identification using projections onto weighted <i>l</i>1 balls.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case.
IEEE Trans. Signal Process., 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
IEEE Trans. Signal Process., 2008
Sliding Window Generalized Kernel Affine Projection Algorithm Using Projection Mappings.
EURASIP J. Adv. Signal Process., 2008
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
IEEE Trans. Signal Process., 2007
IEEE Trans. Speech Audio Process., 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2007
2006
Adaptive projected subgradient method and its applications to robust signal processing.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2003
Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method.
Signal Process., 2003
2002
An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques.
IEEE Trans. Signal Process., 2002
Spectrum estimation of real vector wide sense stationary processes by the Hybrid Steepest Descent Method.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001
An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques.
Proceedings of the IEEE International Conference on Acoustics, 2001
1999
Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999