Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor.
Yongqiang TangYuan XieWensheng ZhangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
- low rank
- rank minimization
- low rank representation
- trace norm
- low rank matrix
- high order
- frobenius norm
- sparsity constraints
- low rank subspace
- singular value decomposition
- tensor decomposition
- high dimensional data
- convex optimization
- matrix factorization
- matrix completion
- linear combination
- affinity matrix
- missing data
- robust principal component analysis
- eigendecomposition
- singular values
- semi supervised
- matrix decomposition
- kernel matrix
- dimensionality reduction
- low rank matrices
- data matrix
- pairwise
- data sets
- image sequences
- low rank and sparse
- factorization methods
- low rank approximation
- higher order
- norm minimization
- regularized regression
- feature selection