Towards Understanding Sparse Filtering: A Theoretical Perspective

29 Mar 2016 Fabio Massimo Zennaro Ke Chen

In this paper we present a theoretical analysis to understand sparse filtering, a recent and effective algorithm for unsupervised learning. The aim of this research is not to show whether or how well sparse filtering works, but to understand why and when sparse filtering does work... (read more)

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