Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization

Positive semidefinite matrix factorization (PSDMF) expresses each entry of a nonnegative matrix as the inner product of two positive semidefinite (psd) matrices. When all these psd matrices are constrained to be diagonal, this model is equivalent to nonnegative matrix factorization... (read more)

Results in Papers With Code
(↓ scroll down to see all results)