Kernel Principal Component Analysis for Large Scale Data Set.
Haixian WangZilan HuYu'e ZhaoPublished in: ICIC (1) (2006)
Keyphrases
- kernel principal component analysis
- large scale data sets
- data sets
- kernel pca
- principal components
- discriminant analysis
- real world
- support vector machine
- feature extraction
- kernel function
- principal component analysis
- preprocessing
- kernel methods
- feature space
- high dimensional
- classification method
- kernel matrix
- face recognition
- high dimensional feature space
- feature vectors
- support vector machine svm
- pattern recognition
- gabor wavelets
- machine learning
- linear discriminant analysis
- graph kernels
- input space
- knn
- training set