Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels.
Elzbieta PekalskaBernard HaasdonkPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2009)
Keyphrases
- positive definite
- kernel function
- kernel matrix
- kernel learning
- geometric structure
- covariance matrix
- kernel methods
- discriminant analysis
- kernel machines
- reproducing kernel hilbert space
- feature space
- diffusion tensor
- support vector
- input space
- graph kernels
- high dimensional feature space
- data sets
- low rank
- hyperplane
- linear discriminant analysis
- kernel pca
- pattern recognition
- support vector regression
- multiple kernel learning
- svm classifier
- support vector machine
- high dimensional