Accelerating ILL-Conditioned Robust Low-Rank Tensor Regression.
Tian TongCong MaYuejie ChiPublished in: ICASSP (2022)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- trace norm
- high order
- frobenius norm
- low rank subspace
- low rank representation
- convex optimization
- robust principal component analysis
- matrix factorization
- tensor decomposition
- missing data
- linear combination
- matrix completion
- singular value decomposition
- norm minimization
- higher order
- kernel matrix
- low rank matrices
- semi supervised
- high dimensional data
- minimization problems
- singular values
- image restoration
- matrix decomposition
- foreground detection
- natural images
- data matrix
- approximation methods
- support vector
- optical flow