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Universal Regularizers For Robust Sparse Coding and Modeling
v1v2 (latest)

Universal Regularizers For Robust Sparse Coding and Modeling

15 March 2010
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
ArXiv (abs)PDFHTML

Papers citing "Universal Regularizers For Robust Sparse Coding and Modeling"

4 / 4 papers shown
Title
PACO: Global Signal Restoration via PAtch COnsensus
PACO: Global Signal Restoration via PAtch COnsensus
Ignacio Ramírez Paulino
18
1
0
20 Aug 2018
Homotopy based algorithms for $\ell_0$-regularized least-squares
Homotopy based algorithms for ℓ0\ell_0ℓ0​-regularized least-squares
C. Soussen
Jérôme Idier
Junbo Duan
D. Brie
63
26
0
31 Jan 2014
Sparse Signal Estimation by Maximally Sparse Convex Optimization
Sparse Signal Estimation by Maximally Sparse Convex Optimization
I. Selesnick
Ilker Bayram
91
158
0
22 Feb 2013
An MDL framework for sparse coding and dictionary learning
An MDL framework for sparse coding and dictionary learning
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
111
57
0
11 Oct 2011
1