Keyphrases
- discriminant analysis
- kernel discriminant analysis
- discriminant subspace
- class separability
- linear discriminant analysis
- kernel fisher discriminant analysis
- face recognition
- fisher linear discriminant analysis
- kernel principal component analysis
- principal component analysis
- image representation
- feature extraction
- canonical correlations
- graph embedding
- fisher discriminant analysis
- factor analysis
- support vector
- fisher criterion
- feature space
- neural network
- dimensionality reduction methods
- partial least squares
- discriminant functions
- generalized linear
- discriminant projection
- feature selection
- generalized discriminant analysis
- cluster analysis
- discriminant vectors
- scatter matrices
- kernel function