Nonlinear Discriminant Analysis Using Kernel Functions.
Volker RothVolker SteinhagePublished in: NIPS (1999)
Keyphrases
- discriminant analysis
- kernel function
- kernel principal component analysis
- high dimensional feature space
- discriminant subspace
- support vector
- generalized linear
- kernel pca
- linear discriminant analysis
- kernel methods
- feature space
- input space
- face recognition
- support vector machine
- feature extraction
- kernel matrix
- high dimensional
- svm classifier
- support vector regression
- support vectors
- partial least squares
- kernel trick
- kernel learning
- hyperplane
- reproducing kernel hilbert space
- principal component analysis
- feature set
- multiple kernel learning
- feature vectors
- neural network
- optimal kernel