Keyphrases
- kernel principal component analysis
- classification method
- feature extraction
- support vector
- feature space
- support vector machine svm
- principal components
- kernel pca
- kernel function
- discriminant analysis
- preprocessing
- principal component analysis
- kernel fisher discriminant analysis
- kernel methods
- support vector machine
- feature selection
- high dimensional
- small number of training samples
- feature vectors
- svm classifier
- machine learning
- generalization ability
- pattern recognition
- kernel matrix
- face recognition
- classification algorithm
- classification accuracy
- data mining
- model selection
- cross validation
- text classification
- low dimensional
- dimensionality reduction
- training set
- subspace methods
- high dimensional feature space
- decision trees