A general theory for subspace-sparse recovery.
Ningning LiWengu ChenHuanmin GePublished in: Int. J. Wavelets Multiresolution Inf. Process. (2022)
Keyphrases
- general theory
- high dimensional
- regularized regression
- morphological operators
- mathematical theory
- low rank representation
- low dimensional
- high dimensional data
- stable models
- feature space
- principal component analysis
- artificial intelligence
- linear subspace
- sparse representation
- image processing
- belief functions
- low rank
- logic programs
- object recognition
- computer vision