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Konstantinos D. Koutroumbas

Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization

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Oct 05, 2017
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On the convergence of the sparse possibilistic c-means algorithm

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Apr 19, 2017
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Low-rank and Sparse NMF for Joint Endmembers' Number Estimation and Blind Unmixing of Hyperspectral Images

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Mar 16, 2017
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Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View

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Feb 12, 2016
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Sparsity-aware Possibilistic Clustering Algorithms

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Oct 15, 2015
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A Novel Adaptive Possibilistic Clustering Algorithm

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Oct 15, 2015
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A variational Bayes framework for sparse adaptive estimation

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Jan 13, 2014
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