735 citations · 737 across the 4 of their papers we have counts for
3 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…
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…
Supervised Dictionary Learning
Julien Mairal, Francis Bach, Jean Ponce +2
It is now well established that sparse signal models are well suited to restoration tasks and can effectively be learned from audio, image, and video data. Recent research has been…