169 citations · 818 across the 32 of their papers we have counts for
8 papers · 1 filter
Greedy Sparsity-Promoting Algorithms for Distributed Learning
Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis +1
This paper focuses on the development of novel greedy techniques for distributed learning under sparsity constraints. Greedy techniques have widely been used in centralized systems…
Robust Linear Regression Analysis - A Greedy Approach
George Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis +1
The task of robust linear estimation in the presence of outliers is of particular importance in signal processing, statistics and machine learning. Although the problem has been st…
Preamble-based Channel Estimation in OFDM/OQAM Systems: A Review
E. Kofidis, D. Katselis, A. Rontogiannis +1
Filter bank-based multicarrier communications (FBMC) have recently attracted increased interest in both wired (e.g., xDSL, PLC) and wireless (e.g., cognitive radio) applications, d…
Sparsity-Aware Learning and Compressed Sensing: An Overview
Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis
This paper is based on a chapter of a new book on Machine Learning, by the first and third author, which is currently under preparation. We provide an overview of the major theoret…
A Sparsity-Aware Adaptive Algorithm for Distributed Learning
Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis +1
In this paper, a sparsity-aware adaptive algorithm for distributed learning in diffusion networks is developed. The algorithm follows the set-theoretic estimation rationale. At eac…
Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces
Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis +1
This paper studies a sparse signal recovery task in time-varying (time-adaptive) environments. The contribution of the paper to sparsity-aware online learning is threefold; first,…