2016
Completion of structurally-incomplete matrices with reweighted low-rank and sparsity priors
ICASSP 2016accepted
Most matrix completion methods impose a low-rank prior or its variants to well pose the problem. However, the rank minimization is problematic to handle matrices with structural missing. To remedy this, this paper introduces a new matrix completion method using double priors on the latent matrix, na…