A Bayesian approach to the Lee-Seung update rules for NMF

作者：Schachtner R; Poeppel G; Tome A M; Lang W^*

来源：Pattern Recognition Letters, 2014, 45: 251-256.

DOI：10.1016/j.patrec.2014.04.013

• Variational Bayes NMF
• Bayesian optimality criteria
• Lee-Seung update rules

NMF is a Blind Source Separation technique decomposing multivariate non-negative data sets into meaningful non-negative basis components and non-negative weights. In its canonical form an NMF algorithm was proposed by Lee and Seung (1999) [31] employing multiplicative update rules. In this study we show how the latter follow from a new variational Bayes NMF algorithm VBNMF employing a Gaussian noise kernel.

• 出版日期2014-8-1