Low-rank preserving embedding regression for robust image feature extraction.
Tao ZhangChen-Feng LongYang-Jun DengWei-Ye WangSiqiao TanHeng-Chao LiPublished in: IET Comput. Vis. (2024)
Keyphrases
- low rank
- image feature extraction
- rank minimization
- low rank matrix
- robust principal component analysis
- missing data
- matrix factorization
- convex optimization
- singular value decomposition
- matrix completion
- semi supervised
- linear combination
- feature extraction
- image processing
- high order
- regularized regression
- high dimensional data
- norm minimization
- singular values
- collaborative filtering
- image registration
- image data
- feature selection
- computer vision