Stochastic variance reduced multiplicative update for nonnegative matrix factorization

30 Oct 2017Hiroyuki Kasai

Nonnegative matrix factorization (NMF), a dimensionality reduction and factor analysis method, is a special case in which factor matrices have low-rank nonnegative constraints. Considering the stochastic learning in NMF, we specifically address the multiplicative update (MU) rule, which is the most popular, but which has slow convergence property... (read more)

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