Low-rank tensor completion via combined non-local self-similarity and low-rank regularization.
Xiao-Tong LiXi-Le ZhaoTai-Xiang JiangYu-Bang ZhengTeng-Yu JiTing-Zhu HuangPublished in: Neurocomputing (2019)
Keyphrases
- low rank
- trace norm
- rank minimization
- high order
- convex optimization
- missing data
- linear combination
- singular value decomposition
- matrix factorization
- matrix completion
- frobenius norm
- low rank matrix
- minimization problems
- group sparsity
- matrix decomposition
- semi supervised
- high dimensional data
- kernel matrices
- tensor decomposition
- kernel matrix
- multi task
- norm minimization
- singular values
- data matrix
- high dimensional
- natural images
- least squares
- low rank matrices
- robust principal component analysis