Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition.
Cheong Hee ParkHaesun ParkPublished in: SIAM J. Matrix Anal. Appl. (2005)
Keyphrases
- singular value decomposition
- discriminant analysis
- kernel function
- kernel principal component analysis
- principal component analysis
- high dimensional feature space
- feature space
- linear discriminant analysis
- dimensionality reduction
- kernel pca
- support vector
- kernel methods
- face recognition
- singular values
- input space
- scatter matrices
- feature extraction
- high dimensional
- support vector machine
- null space
- dimension reduction
- least squares
- kernel matrix
- low rank
- hyperplane
- support vectors
- low dimensional
- neural network
- principal components
- cluster analysis
- kernel learning
- reproducing kernel hilbert space
- original data
- kernel trick
- nonlinear models
- multiple kernel learning
- feature set