735 citations · 871 across the 27 of their papers we have counts for
4 papers · 1 filter
Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling
Pablo Sprechmann, Ignacio Ramirez, Pablo Cancela +1
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on C-HiLasso, a convex collaborative hierarchical s…
Sparse coding and dictionary learning based on the MDL principle
Ignacio Ramírez, Guillermo Sapiro
The power of sparse signal coding with learned dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical inference and machi…
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…
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…