Robust Low-Rank Tensor Recovery with Rectification and Alignment.
Xiaoqin ZhangDi WangZhengyuan ZhouYi MaPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2021)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- trace norm
- high order
- low rank representation
- low rank subspace
- convex optimization
- frobenius norm
- tensor decomposition
- missing data
- matrix completion
- singular value decomposition
- robust principal component analysis
- matrix factorization
- linear combination
- higher order
- semi supervised
- high dimensional data
- pattern recognition
- singular values
- tensor factorization
- kernel matrix
- matrix decomposition
- data analysis
- low rank matrices
- computer vision
- markov random field
- minimization problems
- auxiliary information
- collaborative filtering
- machine learning
- pairwise
- image pairs
- image sequences