-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: Inf. Sci. (2020)
Keyphrases
- low rank
- frobenius norm
- convex relaxation
- convex optimization
- matrix completion
- trace norm
- nuclear norm
- low rank matrix
- high order
- rank minimization
- singular values
- kernel matrix
- missing data
- matrix factorization
- linear combination
- globally optimal
- norm minimization
- multi label
- total variation
- decision trees
- multiple kernel learning
- data sets
- optimization methods
- singular value decomposition
- multistage
- higher order
- high dimensional