Low-Rank tensor completion based on nonconvex regularization.
Xinhua SuHuanmin GeZeting LiuYanfei ShenPublished in: Signal Process. (2023)
Keyphrases
- trace norm
- low rank
- convex optimization
- low rank matrices
- robust principal component analysis
- low rank matrix recovery
- rank minimization
- matrix completion
- low rank and sparse
- low rank matrix
- linear combination
- frobenius norm
- matrix factorization
- kernel matrix
- singular value decomposition
- missing data
- multi task
- high order
- minimization problems
- semi supervised
- tensor decomposition
- norm minimization
- group sparsity
- singular values
- kernel matrices
- data matrix
- nuclear norm
- interior point methods
- high dimensional data
- small number
- learning algorithm