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cs.LG2012★ 15 cited
Learning efficient sparse and low rank models
Pablo Sprechmann, Alex M. Bronstein, Guillermo Sapiro
Parsimony, including sparsity and low rank, has been shown to successfully model data in numerous machine learning and signal processing tasks. Traditionally, such modeling approac…
cs.LG2012★ 5 cited
Learning Robust Low-Rank Representations
Pablo Sprechmann, Alex M. Bronstein, Guillermo Sapiro
In this paper we present a comprehensive framework for learning robust low-rank representations by combining and extending recent ideas for learning fast sparse coding regressors w…