Flexible sparse robust low-rank approximation of matrix for image feature selection and classification.
Xiuhong ChenTong ChenPublished in: Soft Comput. (2023)
Keyphrases
- low rank approximation
- singular value decomposition
- input image
- low rank matrices
- feature selection and classification
- low rank
- image features
- singular values
- image classification
- image representation
- low rank matrix
- low rank matrix approximation
- rank minimization
- high dimensional
- image segmentation
- reconstruction error
- spectral clustering
- sparse coding
- data sets
- sparse representation
- similarity measure
- machine learning