  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.
