An enhanced approach to the robust discriminant analysis and class sparsity based embedding.
A. KhoderFadi DornaikaPublished in: Neural Networks (2021)
Keyphrases
- discriminant analysis
- fisher linear discriminant analysis
- graph embedding
- fisher criterion
- scatter matrices
- linear discriminant analysis
- face recognition
- kernel discriminant analysis
- discriminant functions
- class separability
- feature extraction
- canonical correlations
- high dimensional
- principal component analysis
- discriminant subspace
- partial least squares
- kernel principal component analysis
- cluster analysis
- sparse representation
- generalized linear
- fisher discriminant analysis
- kernel fisher discriminant analysis
- pattern recognition
- locality preserving projections
- null space
- k nearest neighbor
- discriminant information
- feature selection