Scaled Nuclear Norm Minimization for Low-Rank Tensor Completion.
Morteza AshraphijuoXiaodong WangPublished in: CoRR (2017)
Keyphrases
- low rank
- nuclear norm minimization
- matrix completion
- trace norm
- high order
- frobenius norm
- nuclear norm
- tensor decomposition
- linear combination
- convex optimization
- low rank matrix
- matrix factorization
- missing data
- rank minimization
- semi supervised
- kernel matrix
- singular value decomposition
- higher order
- singular values
- norm minimization
- high dimensional data
- low rank matrices
- minimization problems
- data matrix
- non rigid structure from motion
- pairwise
- convex relaxation
- least squares
- rank aggregation
- training set