most citedMajorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence

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math.OC2024★ 2 cited

Majorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence

Shota Takahashi, Mirai Tanaka, Shiro Ikeda

Nonnegative matrix factorization (NMF) is a popular method in machine learning and signal processing to decompose a given nonnegative matrix into two nonnegative matrices. In this…