Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer.
Zhi WangYu LiuXin LuoJianjun WangChao GaoDezhong PengWu ChenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- rank minimization
- low rank
- robust principal component analysis
- convex optimization
- total variation
- semi supervised
- matrix completion
- low rank and sparse
- image restoration
- affinity matrix
- linear combination
- kernel matrix
- objective function
- matrix factorization
- pairwise
- low rank matrix
- singular values
- image processing
- missing data
- feature space
- collaborative filtering