A novel hierarchical Bayesian approach for sparse semisupervised hyperspectral unmixing KE Themelis, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Signal Processing 60 (2), 585-599, 2011 | 156 | 2011 |
Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing PV Giampouras, KE Themelis, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4775-4789, 2016 | 133 | 2016 |
A Variational Bayes Framework for Sparse Adaptive Estimation KE Themelis, AA Rontogiannis, KD Koutroumbas Signal Processing, IEEE Transactions on 62 (18), 4723-4736, 2014 | 62 | 2014 |
Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso. K Themelis, AA Rontogiannis, K Koutroumbas ICASSP, 1194-1197, 2010 | 49 | 2010 |
On the unmixing of MEx/OMEGA hyperspectral data KE Themelis, F Schmidt, O Sykioti, AA Rontogiannis, KD Koutroumbas, ... Planetary and Space Science 68 (1), 34-41, 2012 | 27 | 2012 |
A soft constrained MAP estimator for supervised hyperspectral signal unmixing K Themelis, AA Rontogiannis 2008 16th European Signal Processing Conference, 1-5, 2008 | 18 | 2008 |
Weak-lensing mass reconstruction using sparsity and a Gaussian random field JL Starck, KE Themelis, N Jeffrey, A Peel, F Lanusse Astronomy & Astrophysics 649, A99, 2021 | 17 | 2021 |
Online sparse and low-rank subspace learning from incomplete data: A Bayesian view PV Giampouras, AA Rontogiannis, KE Themelis, KD Koutroumbas Signal Processing 137, 199-212, 2017 | 16 | 2017 |
A fast variational Bayes algorithm for sparse semi-supervised unmixing of OMEGA/Mars express data AA Rontogiannis, K Themelis, O Sykioti, K Koutroumbas 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2013 | 12 | 2013 |
Variational Bayes group sparse time-adaptive parameter estimation with either known or unknown sparsity pattern KE Themelis, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Signal Processing 64 (12), 3194-3206, 2016 | 9 | 2016 |
Online Bayesian low-rank subspace learning from partial observations PV Giampouras, AA Rontogiannis, KE Themelis, KD Koutroumbas 2015 23rd European Signal Processing Conference (EUSIPCO), 2526-2530, 2015 | 8 | 2015 |
Robust linear regression analysis-the greedy way G Papageorgiou, P Bouboulis, S Theodoridis, K Themelis 2014 22nd European Signal Processing Conference (EUSIPCO), 16-20, 2014 | 6 | 2014 |
A variational Bayes algorithm for joint-sparse abundance estimation PV Giampouras, KE Themelis, AA Rontogiannis, KD Koutroumbas 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014 | 6 | 2014 |
Sparse semi-supervised hyperspectral unmixing using a novel iterative bayesian inference algorithm KE Themelis, AA Rontogiannis, K Koutroumbas 2011 19th European Signal Processing Conference, 1165-1169, 2011 | 6 | 2011 |
A sparse reduced-rank regression approach for hyperspectral image unmixing PV Giampouras, AA Rontogiannis, KD Koutroumbas, KE Themelis 2015 3rd International Workshop on Compressed Sensing Theory and its …, 2015 | 5 | 2015 |
Group-sparse adaptive variational Bayes estimation KE Themelis, AA Rontogiannis, KD Koutroumbas 2014 22nd European Signal Processing Conference (EUSIPCO), 1342-1346, 2014 | 5 | 2014 |
Online Bayesian group sparse parameter estimation using a generalized inverse Gaussian Markov chain KE Themelis, AA Rontogiannis, KD Koutroumbas 2015 23rd European Signal Processing Conference (EUSIPCO), 1686-1690, 2015 | 4 | 2015 |
Hyperspectral image unmixing via simultaneously sparse and low rank abundance matrix estimation PV Giampouras, KE Themelis, AA Rontogiannis, KD Koutroumbas 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015 | 4 | 2015 |
Semisupervised hyperspectral image unmixing using a variational Bayes algorithm KE Themelis, AA Rontogiannis, KD Koutroumbas arXiv preprint arXiv:1406.4705, 2014 | 4 | 2014 |
Variational Bayesian sparse adaptive filtering using a Gauss-Seidel recursive approach KE Themelis, AA Rontogiannis, KD Koutroumbas 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 3 | 2013 |