Low-Rank Tensor Completion via Tensor Nuclear Norm With Hybrid Smooth Regularization.
Xi-Le ZhaoXin NieYu-Bang ZhengTeng-Yu JiTing-Zhu HuangPublished in: IEEE Access (2019)
Keyphrases
- low rank
- trace norm
- nuclear norm
- high order
- matrix completion
- low rank matrix
- rank minimization
- tensor decomposition
- frobenius norm
- missing data
- convex optimization
- matrix factorization
- linear combination
- norm minimization
- singular value decomposition
- semi supervised
- high dimensional data
- low rank matrices
- minimization problems
- kernel matrix
- data matrix
- singular values
- higher order
- semidefinite programming
- image processing