Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence

25 Nov 2011 Vincent Y. F. Tan Cédric Févotte

This paper addresses the estimation of the latent dimensionality in nonnegative matrix factorization (NMF) with the \beta-divergence. The \beta-divergence is a family of cost functions that includes the squared Euclidean distance, Kullback-Leibler and Itakura-Saito divergences as special cases... (read more)

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