93 citations · 144 across the 7 of their papers we have counts for
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cs.CV2010
Statistical Compressive Sensing of Gaussian Mixture Models
Guoshen Yu, Guillermo Sapiro
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distr…
cs.LG2010
Efficient Matrix Completion with Gaussian Models
Flavien Léger, Guoshen Yu, Guillermo Sapiro
A general framework based on Gaussian models and a MAP-EM algorithm is introduced in this paper for solving matrix/table completion problems. The numerical experiments with the sta…
cs.CV2010★ 25 cited
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-…