Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery.
Yu-Bang ZhengTing-Zhu HuangXi-Le ZhaoTai-Xiang JiangTeng-Yu JiTian-Hui MaPublished in: CoRR (2018)
Keyphrases
- low rank
- frobenius norm
- matrix completion
- convex optimization
- convex relaxation
- trace norm
- high order
- nuclear norm
- matrix factorization
- missing data
- linear combination
- singular value decomposition
- singular values
- rank minimization
- low rank matrix
- kernel matrix
- negative matrix factorization
- higher order
- high dimensional data
- norm minimization
- rank aggregation
- pairwise
- semi supervised
- multi task
- small number
- total variation
- multi view
- data sets
- multi label
- multistage