2.2k citations · 5.4k across the 90 of their papers we have counts for
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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…
Universal Regularizers For Robust Sparse Coding and Modeling
Ignacio Ramirez, Guillermo Sapiro
Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a dictionary, have gained considerable attention in recent years, an…
Collaborative Hierarchical Sparse Modeling
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapiro +1
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is done by solving an l_1-regularized linear regression problem,…