Image analysis based on nonnegative/binary matrix factorization

Hinako Asaoka, Kazue Kudo

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


Using nonnegative/binary matrix factorization (NBMF), a matrix can be decomposed into a nonnegative matrix and a binary matrix. Our analysis of facial images, based on NBMF and using the Fujitsu Digital Annealer, leads to successful image reconstruction and image classification. The NBMF algorithm converges in fewer iterations than those required for the convergence of nonnegative matrix factorization (NMF), although both techniques perform comparably in image classification.

Original languageEnglish
Article number085001
JournalJournal of the Physical Society of Japan
Issue number8
Publication statusPublished - 2020 Aug


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