Konstantinos Slavakis

Dimitris Pados

CoRR, 2024

Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering.

[BibT_eX]

[DOI]

CoRR, 2024

Multilinear Kernel Regression and Imputation via Manifold Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Proximal Bellman Mappings for Reinforcement Learning and Their Application to Robust Adaptive Filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Multi-Linear Kernel Regression and Imputation in Data Manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Kernel Regression Imputation in Manifolds: Videos of dMRI data.

[BibT_eX]

[DOI]

Gaurav N. Shetty

Dataset, May, 2022

Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2022

online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case.

[BibT_eX]

[DOI]

Cong Ye

Signal Process., 2021

Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds.

[BibT_eX]

[DOI]

Cong Ye

Johan Nakuci

John D. Medaglia

Proceedings of the IEEE International Conference on Acoustics, 2021

Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery.

[BibT_eX]

[DOI]

Gaurav N. Shetty

IEEE Trans. Medical Imaging, 2020

Robust Hierarchical-Optimization RLS Against Sparse Outliers.

[BibT_eX]

[DOI]

Sinjini Banerjee

IEEE Signal Process. Lett., 2020

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case.

[BibT_eX]

[DOI]

Gaurav N. Shetty

Gesualdo Scutari

Proceedings of the 28th European Signal Processing Conference, 2020

2019

The Stochastic Fejér-Monotone Hybrid Steepest Descent Method and the Hierarchical RLS.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian.

[BibT_eX]

[DOI]

Cong Ye

Pratik V. Patil

John D. Medaglia

CoRR, 2019

2018

Clustering Brain-Network Time Series by Riemannian Geometry.

[BibT_eX]

[DOI]

Henry E. Baidoo-Williams

Jean M. Vettel

Matthew Cieslak

Scott T. Grafton

IEEE Trans. Signal Inf. Process. over Networks, 2018

MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Fast Projection-Based Solvers for the Non-Convex Quadratically Constrained Feasibility Problem.

[BibT_eX]

[DOI]

Aritra Konar

Nicholas D. Sidiropoulos

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Stochastic Composite Convex Minimization with Affine Constraints.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Henry E. Baidoo-Williams

Jean M. Vettel

Matthew Cieslak

Scott T. Grafton

CoRR, 2017

M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging.

[BibT_eX]

[DOI]

Jingyuan Lyu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks.

[BibT_eX]

[DOI]

Shunsuke Ono

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding.

[BibT_eX]

[DOI]

Yihang Zhou

Jingyuan Lyu

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Multi-kernel based nonlinear models for connectivity identification of brain networks.

[BibT_eX]

[DOI]

G. V. Karanikolas

Richard M. Leahy

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Clustering brain-network-connectivity states using kernel partial correlations.

[BibT_eX]

[DOI]

Henry E. Baidoo-Williams

Jean M. Vettel

Matthew Cieslak

Scott T. Grafton

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Sketch and Validate for Big Data Clustering.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

Large-scale subspace clustering using sketching and validation.

[BibT_eX]

[DOI]

CoRR, 2015

Spectral clustering of large-scale communities via random sketching and validation.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

Multi-Manifold Modeling in Non-Euclidean spaces.

[BibT_eX]

[DOI]

Xu Wang

Gilad Lerman

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Large-scale subspace clustering using random sketching and validation.

[BibT_eX]

[DOI]

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].

[BibT_eX]

[DOI]

Seung-Jun Kim

Gonzalo Mateos

IEEE Signal Process. Mag., 2014

Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge.

[BibT_eX]

[DOI]

Gonzalo Mateos

IEEE Signal Process. Mag., 2014

Riemannian Multi-Manifold Modeling.

[BibT_eX]

[DOI]

Xu Wang

Gilad Lerman

CoRR, 2014

Online dictionary learning from big data using accelerated stochastic approximation algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Clustering high-dimensional data via random sampling and consensus.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mahdi Zamanighomi

Zhengdao Wang

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Big data clustering via random sketching and validation.

[BibT_eX]

[DOI]

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces.

[BibT_eX]

[DOI]

Stephen McLaughlin

IEEE Trans. Signal Process., 2013

Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning.

[BibT_eX]

[DOI]

SIAM J. Optim., 2013

Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2013

Generalized Iterative Thresholding for Sparsity-Aware Online Volterra System Identification.

[BibT_eX]

[DOI]

Vassilis Kekatos

Proceedings of the ISWCS 2013, 2013

Thresholding-based online algorithms of complexity comparable to sparse LMS methods.

[BibT_eX]

[DOI]

Stephen McLaughlin

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.

[BibT_eX]

[DOI]

Geert Leus

Proceedings of the IEEE International Conference on Acoustics, 2013

New operators for fixed-point theory: The sparsity-aware learning case.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

Robust sparse embedding and reconstruction via dictionary learning.

[BibT_eX]

[DOI]

Geert Leus

Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach.

[BibT_eX]

[DOI]

Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012

A Sparsity Promoting Adaptive Algorithm for Distributed Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Sparsity-Aware Learning and Compressed Sensing: An Overview

[BibT_eX]

[DOI]

CoRR, 2012

Generalized thresholding sparsity-aware algorithm for low complexity online learning.

[BibT_eX]

[DOI]

Steve McLaughlin

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks.

[BibT_eX]

[DOI]

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted ell1 Balls.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Adaptive Robust Distributed Learning in Diffusion Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Adaptive Learning in a World of Projections.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2011

A Sparsity-Aware Adaptive Algorithm for Distributed Learning

[BibT_eX]

[DOI]

CoRR, 2011

Generalized Thresholding Sparsity-Aware Online Learning in a Union of Subspaces

[BibT_eX]

[DOI]

Steve McLaughlin

CoRR, 2011

Reduced complexity online sparse signal reconstruction using projections onto weighted ℓ1 balls.

[BibT_eX]

[DOI]

Steve McLaughlin

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Revisiting adaptive least-squares estimation and application to online sparse signal recovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Trading off communications bandwidth with accuracy in adaptive diffusion networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Robust adaptive sparse system identification by using weighted l1 balls and Moreau envelopes.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

2010

Adaptive Kernel-Based Image Denoising Employing Semi-Parametric Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2010

Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method.

[BibT_eX]

[DOI]

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

[BibT_eX]

[DOI]

CoRR, 2010

Online Sparse System Identification and Signal Reconstruction using Projections onto Weighted ℓ1 Balls

[BibT_eX]

[DOI]

CoRR, 2010

Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multi-domain adaptive filtering by feasibility splitting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Adaptive algorithm for sparse system identification using projections onto weighted l1 balls.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

A novel adaptive algorithm for diffusion networks using projections onto hyperslabs.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009

Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Signal processing in dual domain by adaptive projected subgradient method.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Affinely constrained online learning and its application to beamforming.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Online Kernel-Based Classification Using Adaptive Projection Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Sliding Window Generalized Kernel Affine Projection Algorithm Using Projection Mappings.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2008

Sliding window online Kernel-based classification by projection mappings.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Robust adaptive nonlinear beamforming by kernels and projection mappings.

[BibT_eX]

[DOI]

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

Robust Wideband Beamforming by the Hybrid Steepest Descent Method.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2007

Adaptive Parallel Quadratic-Metric Projection Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2007

Online Kernel-Based Classification by Projections.

[BibT_eX]

[DOI]

Florendia Fourli-Kartsouni

Proceedings of the IEEE International Conference on Acoustics, 2007

A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents.

[BibT_eX]

[DOI]

Georgios Kouroupetroglou

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.

[BibT_eX]

[DOI]

Renato L. G. Cavalcante

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Robust Capon Beamforming by the Adaptive Projected Subgradient Method.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Kohichi Sakaniwa

Signal Process., 2003

2002

An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques.

[BibT_eX]

[DOI]

Kenyu Yamada

IEEE Trans. Signal Process., 2002

Spectrum estimation of real vector wide sense stationary processes by the Hybrid Steepest Descent Method.

[BibT_eX]

[DOI]

Kohichi Sakaniwa

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Compactly supported matrix valued wavelets-biorthogonal unconditional bases.

[BibT_eX]

[DOI]

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques.

[BibT_eX]

[DOI]

Kenyu Yamada

Proceedings of the IEEE International Conference on Acoustics, 2001

1999

Biorthogonal bases of compactly supported matrix valued wavelets.

[BibT_eX]

[DOI]