Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach.
Tao XiongJieping YeVladimir CherkasskyPublished in: CVPR (1) (2006)
Keyphrases
- discriminant vectors
- discriminant analysis
- generalized discriminant analysis
- kernel discriminant analysis
- discriminant subspace
- linear discriminant analysis
- kernel fisher discriminant analysis
- face recognition
- factor analysis
- feature extraction
- fisher linear discriminant analysis
- fisher discriminant analysis
- kernel principal component analysis
- class separability
- partial least squares
- principal component analysis
- scatter matrices
- graph embedding
- canonical correlations
- fisher criterion
- data sets
- support vector
- data analysis
- kernel function
- cluster analysis
- dimensionality reduction methods
- generalized linear
- feature vectors
- linear combination
- pattern recognition
- feature space
- dimensionality reduction
- data points
- nearest feature line
- image processing