Image classification based on weighted nonconvex low-rank and discriminant least squares regression.
Kunyan ZhongJinglei LiuPublished in: Appl. Intell. (2023)
Keyphrases
- low rank
- image classification
- convex optimization
- low rank matrices
- robust principal component analysis
- low rank matrix recovery
- feature extraction
- missing data
- linear combination
- matrix factorization
- matrix completion
- rank minimization
- low rank matrix
- low rank and sparse
- semi supervised
- image representation
- bag of words
- kernel matrix
- matrix decomposition
- singular value decomposition
- high order
- nuclear norm
- visual words
- high dimensional data
- data matrix
- sparse coding
- convex relaxation
- sparse representation
- trace norm
- image features
- principal component analysis
- feature space
- singular values
- norm minimization
- multiscale
- feature selection
- non rigid structure from motion
- primal dual
- objective function
- dimensionality reduction