Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion

7 Jan 2019Shengke XueWenyuan QiuFan LiuXinyu Jin

Matrix completion focuses on recovering a matrix from a small subset of its observed elements, and has already gained cumulative attention in computer vision. Many previous approaches formulate this issue as a low-rank matrix approximation problem... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.