Multi-mode Tensor Singular Value Decomposition for Low-Rank Image Recovery.
Lanlan FengCe ZhuYipeng LiuPublished in: ICIG (2) (2021)
Keyphrases
- low rank
- singular value decomposition
- tensor decomposition
- frobenius norm
- compressive sensing
- dimensionality reduction
- tensor factorization
- low rank matrix
- random projections
- matrix completion
- dimension reduction
- least squares
- high order
- singular values
- rank minimization
- reconstruction error
- higher order
- low rank approximation
- matrix decomposition
- kernel matrix
- principal component analysis
- data matrix
- sparse representation
- low rank matrices
- matrix factorization
- high dimensionality
- high dimensional
- feature space
- pattern recognition