Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm

Canyi Lu, Jinhui Tang, Shuicheng Yan +1

The nuclear norm is widely used as a convex surrogate of the rank function in compressive sensing for low rank matrix recovery with its applications in image recovery and signal pr…