Incremental two-dimensional kernel principal component analysis.
Yonghwa ChoiSeiichi OzawaMinho LeePublished in: Neurocomputing (2014)
Keyphrases
- kernel principal component analysis
- kernel pca
- feature extraction
- discriminant analysis
- principal components
- kernel function
- principal component analysis
- preprocessing
- kernel fisher discriminant analysis
- high dimensional
- kernel methods
- feature space
- small number of training samples
- kernel matrix
- face recognition
- classification method
- feature vectors
- high dimensional feature space
- input space
- support vector machine svm
- decision trees
- low dimensional
- dimensionality reduction
- graph kernels
- data sets