Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine.
Akinori HidakaTakio KuritaPublished in: IEICE Trans. Inf. Syst. (2016)
Keyphrases
- discriminant analysis
- discriminant subspace
- kernel principal component analysis
- support vector machine
- linear discriminant analysis
- generalized discriminant analysis
- kernel fisher discriminant analysis
- face recognition
- kernel discriminant analysis
- generalized linear
- feature extraction
- support vector
- principal component analysis
- support vector machine svm
- fisher criterion
- fisher linear discriminant analysis
- kernel pca
- subspace learning
- class separability
- feature space
- kernel methods
- svm classifier
- fisher discriminant analysis
- kernel function
- multi class
- partial least squares
- dimensionality reduction methods
- training data
- feature selection
- discriminant vectors
- nearest feature line
- machine learning
- graph embedding
- neural network
- high dimensional feature space
- support vector regression
- principal components
- dimension reduction
- independent component analysis
- cluster analysis
- distance measure
- feature vectors
- training set