14 citations · 26 across the 12 of their papers we have counts for
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stat.CO2015★ 1 cited
A Bregman Proximal ADMM for NMF with Outliers: Estimating features with missing values and outliers: a Bregman-proximal point algorithm for robust Non-negative Matrix Factorization with application to gene expression analysis
Stéphane Chrétien, Christophe Guyeux, Bastien Conesa +4
To extract the relevant features in a given dataset is a difficult task, recently resolved in the non-negative data case with the Non-negative Matrix factorization (NMF) method. Th…
stat.CO2012★ 1 cited
On EM algorithms and their proximal generalizations
Stéphane Chrétien, Alfred O. Hero
In this paper, we analyze the celebrated EM algorithm from the point of view of proximal point algorithms. More precisely, we study a new type of generalization of the EM procedure…
stat.CO2012
Kullback Proximal Algorithms for Maximum Likelihood Estimation
Stéphane Chrétien, Alfred O. Hero
Accelerated algorithms for maximum likelihood image reconstruction are essential for emerging applications such as 3D tomography, dynamic tomographic imaging, and other high dimens…