A soft constrained MAP estimator for supervised hyperspectral signal unmixing. - Konstantinos Themelis; Athanasios A. Rontogiannis (EUSIPCO, 2008)

Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso. - Konstantinos Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (ICASSP, 2010)

Sparse semi-supervised hyperspectral unmixing using a novel iterative Bayesian inference algorithm. - Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (EUSIPCO, 2011)

A fast algorithm for the Bayesian adaptive lasso. - Athanasios A. Rontogiannis; Konstantinos E. Themelis; Konstantinos Koutroumbas (EUSIPCO, 2012)

A Novel Hierarchical Bayesian Approach for Sparse Semisupervised Hyperspectral Unmixing. - Konstantinos Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (IEEE Trans. Signal Process., 2012)

Variational Bayesian sparse adaptive filtering using a Gauss-Seidel recursive approach. - Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (EUSIPCO, 2013)

A fast variational Bayes algorithm for sparse semi-supervised unmixing of OMEGA/Mars express data. - Athanasios A. Rontogiannis; Konstantinos Themelis; Olga Sykioti; Konstantinos Koutroumbas (WHISPERS, 2013)

Robust linear regression analysis - The greedy way. - Georgios K. Papageorgiou; Pantelis Bouboulis; Sergios Theodoridis; Konstantinos Themelis (EUSIPCO, 2014)

Group-sparse adaptive variational Bayes estimation. - Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (EUSIPCO, 2014)

Adaptive variational sparse Bayesian estimation. - Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (ICASSP, 2014)

A variational Bayes algorithm for joint-sparse abundance estimation. - Paris V. Giampouras; Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos D. Koutroumbas (WHISPERS, 2014)

Robust Linear Regression Analysis - A Greedy Approach. - Georgios K. Papageorgiou; Pantelis Bouboulis; Sergios Theodoridis; Konstantinos Themelis (CoRR, 2014)

A Variational Bayes Framework for Sparse Adaptive Estimation. - Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (IEEE Trans. Signal Process., 2014)

Online Bayesian low-rank subspace learning from partial observations. - Paris Giampouras; Athanasios A. Rontogiannis; Konstantinos E. Themelis; Konstantinos Koutroumbas (EUSIPCO, 2015)

Online Bayesian group sparse parameter estimation using a generalized inverse Gaussian Markov chain. - Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos Koutroumbas (EUSIPCO, 2015)

Hyperspectral image unmixing via simultaneously sparse and low rank abundance matrix estimation. - Paris V. Giampouras; Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos D. Koutroumbas (WHISPERS, 2015)

Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing. - Paris V. Giampouras; Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos D. Koutroumbas (IEEE Trans. Geosci. Remote. Sens., 2016)

Variational Bayes Group Sparse Time-Adaptive Parameter Estimation With Either Known or Unknown Sparsity Pattern. - Konstantinos E. Themelis; Athanasios A. Rontogiannis; Konstantinos D. Koutroumbas (IEEE Trans. Signal Process., 2016)

Online sparse and low-rank subspace learning from incomplete data: A Bayesian view. - Paris V. Giampouras; Athanasios A. Rontogiannis; Konstantinos E. Themelis; Konstantinos D. Koutroumbas (Signal Process., 2017)

Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology. - Konstantinos E. Themelis; François Lanusse; Niall Jeffrey; Austin Peel; Jean-Luc Starck; Filipe B. Abdalla (EUSIPCO, 2018)