Kernel Optimization in Discriminant Analysis.
Di YouOnur C. HamsiciAleix M. MartínezPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2011)
Keyphrases
- discriminant analysis
- kernel discriminant analysis
- discriminant subspace
- class separability
- kernel fisher discriminant analysis
- linear discriminant analysis
- feature extraction
- fisher linear discriminant analysis
- face recognition
- kernel principal component analysis
- graph embedding
- generalized discriminant analysis
- cluster analysis
- factor analysis
- partial least squares
- fisher discriminant analysis
- fisher criterion
- principal component analysis
- discriminant projection
- generalized linear
- multi class
- optimal kernel
- canonical correlations
- feature space
- kernel function
- discriminant functions
- support vector
- scatter matrices
- support vector machine svm
- nearest feature line