Feature Extraction and Selection via Robust Discriminant Analysis and Class Sparsity.
A. KhoderFadi DornaikaPublished in: ICPR (2020)
Keyphrases
- discriminant analysis
- fisher linear discriminant analysis
- feature extraction and selection
- fisher criterion
- feature extraction
- class separability
- face recognition
- scatter matrices
- kernel discriminant analysis
- linear discriminant analysis
- discriminant functions
- canonical correlations
- principal component analysis
- kernel fisher discriminant analysis
- generalized linear
- discriminant subspace
- partial least squares
- pattern recognition
- graph embedding
- high dimensional
- fisher discriminant analysis
- machine learning
- cluster analysis
- data sets
- null space
- discriminant projection
- sparse representation