Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images.
Tai-Xiang JiangMichael K. NgJunjun PanGuang-Jing SongPublished in: CoRR (2020)
Keyphrases
- low rank
- multi dimensional
- low rank matrix
- eigendecomposition
- image data
- low rank matrix recovery
- matrix decomposition
- missing data
- frobenius norm
- high order
- input image
- singular values
- convex optimization
- trace norm
- tensor decomposition
- matrix factorization
- approximation methods
- singular value decomposition
- object recognition
- image classification
- higher order
- nonnegative matrix factorization
- data matrix
- feature points
- small number
- rank minimization
- feature extraction
- kernel matrix
- linear programming
- tensor factorization
- semi supervised
- multiscale