Incremental and compressible kernel null discriminant analysis.
Franck DufrenoisPublished in: Pattern Recognit. (2022)
Keyphrases
- discriminant analysis
- kernel discriminant analysis
- discriminant subspace
- kernel fisher discriminant analysis
- class separability
- fisher linear discriminant analysis
- linear discriminant analysis
- face recognition
- kernel principal component analysis
- feature extraction
- generalized discriminant analysis
- fisher discriminant analysis
- canonical correlations
- graph embedding
- principal component analysis
- kernel methods
- kernel function
- partial least squares
- discriminant vectors
- dimensionality reduction methods
- fisher criterion
- generalized linear
- factor analysis
- support vector
- feature space
- kernel pca
- data sets
- kernel learning
- data analysis
- neural network