9 citations · 12 across the 5 of their papers we have counts for
7 papers
Online Rank-Revealing Block-Term Tensor Decomposition
Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras
The so-called block-term decomposition (BTD) tensor model, especially in its rank- version, has been recently receiving increasing attention due to its enhanced abilit…
A novel variational form of the Schatten- quasi-norm
Paris Giampouras, René Vidal, Athanasios Rontogiannis +1
The Schatten- quasi-norm with has recently gained considerable attention in various low-rank matrix estimation problems offering significant benefits over relevant c…
Block-Term Tensor Decomposition: Model Selection and Computation
Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras
The so-called block-term decomposition (BTD) tensor model has been recently receiving increasing attention due to its enhanced ability of representing systems and signals that are…
Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization
Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas
Nowadays, the availability of large-scale data in disparate application domains urges the deployment of sophisticated tools for extracting valuable knowledge out of this huge bulk…
Low-rank and Sparse NMF for Joint Endmembers' Number Estimation and Blind Unmixing of Hyperspectral Images
Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas
Estimation of the number of endmembers existing in a scene constitutes a critical task in the hyperspectral unmixing process. The accuracy of this estimate plays a crucial role in…
Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View
Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis +1
Extracting the underlying low-dimensional space where high-dimensional signals often reside has long been at the center of numerous algorithms in the signal processing and machine…