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Konstantinos Themelis
Konstantinos Themelis
Postdoctoral Research Associate
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Citirano
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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
1472011
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
1072016
A Variational Bayes Framework for Sparse Adaptive Estimation
KE Themelis, AA Rontogiannis, KD Koutroumbas
Signal Processing, IEEE Transactions on 62 (18), 4723-4736, 2014
552014
Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso.
K Themelis, AA Rontogiannis, K Koutroumbas
ICASSP, 1194-1197, 2010
472010
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
272012
A soft constrained MAP estimator for supervised hyperspectral signal unmixing
K Themelis, AA Rontogiannis
2008 16th European Signal Processing Conference, 1-5, 2008
192008
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
142017
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
112013
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
92016
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
82021
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
82015
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
62014
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
62011
Group-sparse adaptive variational Bayes estimation
KE Themelis, AA Rontogiannis, KD Koutroumbas
2014 22nd European Signal Processing Conference (EUSIPCO), 1342-1346, 2014
52014
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
52014
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
42015
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
42015
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
42015
Semisupervised hyperspectral image unmixing using a variational Bayes algorithm
KE Themelis, AA Rontogiannis, KD Koutroumbas
arXiv preprint arXiv:1406.4705, 2014
32014
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
32013
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