Dual-Enhanced High-Order Self-Learning Tensor Singular Value Decomposition for Robust Principal Component Analysis.
Honghui XuChuangjie FangRenfang WangShengyong ChenJianwei ZhengPublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- high order
- robust principal component analysis
- low rank
- singular value decomposition
- singular values
- low rank matrix
- higher order
- tensor decomposition
- matrix completion
- tensor analysis
- low rank approximation
- kernel matrix
- rank minimization
- dimension reduction
- pairwise
- dimensionality reduction
- least squares
- nuclear norm
- data matrix
- principal component analysis
- linear combination
- markov random field
- minimization problems
- high dimensional
- semi supervised
- singular vectors