Sparse and Truncated Nuclear Norm Based Tensor Completion.
Zi-Fa HanChi-Sing LeungLong-Ting HuangHing-Cheung SoPublished in: Neural Process. Lett. (2017)
Keyphrases
- nuclear norm
- low rank
- low rank matrix
- low rank matrices
- high order
- tensor decomposition
- frobenius norm
- rank minimization
- matrix completion
- norm minimization
- minimization problems
- convex optimization
- missing data
- singular values
- matrix factorization
- singular value decomposition
- sparse matrix
- higher order
- kernel matrix
- linear combination
- sparse representation
- tensor factorization
- high dimensional data
- pairwise
- approximation methods
- theoretical guarantees
- nonnegative matrix factorization
- small number
- semi supervised
- multiscale