93 citations · 144 across the 7 of their papers we have counts for
8 papers
Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models
Julio Duarte-Carvajalino, Guillermo Sapiro, Guoshen Yu +1
A framework of online adaptive statistical compressed sensing is introduced for signals following a mixture model. The scheme first uses non-adaptive measurements, from which an on…
Statistical Compressed Sensing of Gaussian Mixture Models
Guoshen Yu, Guillermo Sapiro
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distributi…
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…
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-…
Audio Classification from Time-Frequency Texture
Guoshen Yu, Jean-Jacques Slotine
Time-frequency representations of audio signals often resemble texture images. This paper derives a simple audio classification algorithm based on treating sound spectrograms as te…