Nonconvex Low-Rank Tensor Completion from Noisy Data.
Changxiao CaiGen LiH. Vincent PoorYuxin ChenPublished in: Oper. Res. (2022)
Keyphrases
- noisy data
- low rank
- missing data
- convex optimization
- trace norm
- low rank matrices
- frobenius norm
- robust principal component analysis
- high order
- tensor decomposition
- low rank matrix recovery
- low rank matrix
- low rank and sparse
- matrix completion
- missing values
- matrix factorization
- matrix decomposition
- rank minimization
- kernel matrix
- higher order
- linear combination
- data matrix
- objective function
- norm minimization
- minimization problems
- singular value decomposition
- semi supervised
- singular values
- data sets
- negative matrix factorization
- high dimensional data
- nuclear norm
- active learning
- neural network