Sparse low-rank approximation of matrix and local preservation for unsupervised image feature selection.
Tong ChenXiuhong ChenPublished in: Appl. Intell. (2023)
Keyphrases
- low rank approximation
- feature selection
- singular value decomposition
- low rank matrix approximation
- input image
- reconstruction error
- low rank matrices
- multiscale
- image segmentation
- image features
- image representation
- image classification
- unsupervised learning
- low rank
- singular values
- feature extraction
- sparse coding
- data dependent
- subspace learning
- feature space
- low rank matrix
- similarity measure
- natural images