Laplace function based nonconvex surrogate for low-rank tensor completion.
Wen-Hao XuXi-Le ZhaoTeng-Yu JiJiaqing MiaoTian-Hui MaSi WangTing-Zhu HuangPublished in: Signal Process. Image Commun. (2019)
Keyphrases
- low rank
- convex optimization
- trace norm
- low rank matrices
- high order
- robust principal component analysis
- frobenius norm
- tensor decomposition
- low rank matrix
- low rank matrix recovery
- missing data
- matrix factorization
- linear combination
- kernel matrix
- singular value decomposition
- matrix completion
- rank minimization
- semi supervised
- high dimensional data
- minimization problems
- matrix decomposition
- objective function
- nuclear norm
- low rank and sparse
- singular values
- higher order
- auxiliary information
- semidefinite programming
- missing values
- active learning
- feature extraction