Robust Low-Rank Tensor Recovery via Nonconvex Singular Value Minimization.
Lin ChenXue JiangXingzhao LiuZhixin ZhouPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- singular values
- low rank
- convex optimization
- robust principal component analysis
- norm minimization
- low rank matrix
- rank minimization
- matrix completion
- trace norm
- singular value decomposition
- low rank matrices
- high order
- frobenius norm
- minimization problems
- matrix decomposition
- matrix factorization
- tensor decomposition
- missing data
- linear combination
- kernel matrix
- semi supervised
- objective function
- low rank and sparse
- data matrix
- high dimensional data
- dimensionality reduction
- machine learning
- multi view
- higher order
- face recognition