Low-rank tensor train for tensor robust principal component analysis.
Jing-Hua YangXi-Le ZhaoTeng-Yu JiTian-Hui MaTing-Zhu HuangPublished in: Appl. Math. Comput. (2020)
Keyphrases
- low rank
- robust principal component analysis
- trace norm
- high order
- missing data
- matrix factorization
- matrix completion
- convex optimization
- higher order
- singular value decomposition
- linear combination
- rank minimization
- low rank matrix
- high dimensional data
- kernel matrix
- semi supervised
- nuclear norm
- multi task
- low rank and sparse
- singular values
- group lasso
- data matrix
- data analysis
- pairwise