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

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.5335-5339

2021

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Stochastic Composite Convex Minimization with Affine Constraints

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018, p.1871-1875

Slavakis, Konstantinos

2018

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

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.9466-9470

2024

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

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, Vol.2018, p.1213-1216

2018

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

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.5855-5859

2024

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

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.6315-6319

2016

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Online dictionary learning from big data using accelerated stochastic approximation algorithms

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.16-20

2014

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

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, Vol.2017, p.19-22

2017

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

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.3954-3958

2018

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

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.3815-3819

2021

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Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, Vol.2016, p.510-513

2016

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

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.3742-3745

2010

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Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output

2024 16th International Conference on Knowledge and Smart Technology (KST), 2024, p.178-183

2024

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Online robust portfolio risk management using total least-squares and parallel splitting algorithms

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.5686-5690

2013

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

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.4711-4715

2017

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Generalized thresholding sparsity-aware algorithm for low complexity online learning

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.3277-3280

2012

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

2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2013, p.513-516

2013

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Large-scale subspace clustering using random sketching and validation

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015, p.107-111

2015

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

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4292-4295

2011

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Clustering brain-network-connectivity states using kernel partial correlations

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016, p.268-272

2016

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Trading off communications bandwidth with accuracy in adaptive diffusion networks

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.2048-2051

2011

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Big data clustering via random sketching and validation

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014, p.1046-1050

2014

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Affinely constrained online learning and its application to beamforming

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.1573-1576

2009

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Low complexity projection-based adaptive algorithm for sparse system identification and signal reconstruction

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, 2010, p.703-707

2010

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

Stochastic Composite Convex Minimization with Affine Constraints

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

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

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

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

Online dictionary learning from big data using accelerated stochastic approximation algorithms

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

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

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

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

Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding

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

Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output

Online robust portfolio risk management using total least-squares and parallel splitting algorithms

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

Generalized thresholding sparsity-aware algorithm for low complexity online learning

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

Large-scale subspace clustering using random sketching and validation

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

Clustering brain-network-connectivity states using kernel partial correlations

Trading off communications bandwidth with accuracy in adaptive diffusion networks

Big data clustering via random sketching and validation

Affinely constrained online learning and its application to beamforming

Low complexity projection-based adaptive algorithm for sparse system identification and signal reconstruction

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