Robust sparse low-rank embedding for image dimension reduction.
Zhonghua LiuYue LuZhihui LaiWeihua OuKaibing ZhangPublished in: Appl. Soft Comput. (2021)
Keyphrases
- low rank
- dimension reduction
- rank minimization
- singular value decomposition
- low rank matrix
- low rank subspace
- high dimensional data
- low rank representation
- singular values
- robust principal component analysis
- high dimensional
- image data
- convex optimization
- input image
- random projections
- matrix factorization
- high dimensionality
- image segmentation
- principal component analysis
- image representation
- low dimensional
- feature extraction
- linear combination
- image classification
- linear discriminant analysis
- matrix completion
- missing data
- regularized regression
- similarity measure
- least squares
- semi supervised
- manifold learning
- high order
- nearest neighbor
- image sequences
- image processing