Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion.
Yong DuGuoqiang HanYuhui QuanZhiwen YuHau-San WongC. L. Philip ChenJun ZhangPublished in: IEEE Trans. Cybern. (2019)
Keyphrases
- low rank
- trace norm
- high order
- matrix factorization
- sparsity constraints
- convex optimization
- tensor decomposition
- missing data
- rank minimization
- semi supervised
- low rank matrix
- frobenius norm
- linear combination
- matrix completion
- high dimensional data
- kernel matrix
- higher order
- multi task
- singular value decomposition
- tensor factorization
- low rank matrices
- regularized regression