Kernel Uncorrelated Adjacent-class Discriminant Analysis.
Xiao-Yuan JingSheng LiYong-Fang YaoLu-Sha BianJingyu YangPublished in: ICPR (2010)
Keyphrases
- discriminant analysis
- kernel discriminant analysis
- fisher linear discriminant analysis
- class separability
- discriminant vectors
- fisher criterion
- linear discriminant analysis
- discriminant subspace
- face recognition
- generalized discriminant analysis
- scatter matrices
- kernel fisher discriminant analysis
- canonical correlations
- feature extraction
- fisher discriminant analysis
- discriminant functions
- multi class
- dimensionality reduction methods
- partial least squares
- graph embedding
- neural network
- kernel principal component analysis
- dimensionality reduction
- factor analysis
- feature space
- pattern recognition
- image processing
- feature selection
- kernel trick
- reproducing kernel hilbert space
- kernel methods
- principal component analysis
- training data
- data sets