An Improved Kernel Principal Component Analysis for Large-Scale Data Set.
Weiya ShiDexian ZhangPublished in: ISNN (2) (2010)
Keyphrases
- kernel principal component analysis
- large scale data sets
- kernel pca
- discriminant analysis
- feature extraction
- principal components
- data sets
- real world
- preprocessing
- face recognition
- principal component analysis
- kernel function
- feature space
- high dimensional
- support vector machine
- kernel methods
- classification method
- linear discriminant analysis
- gabor wavelets
- input space
- kernel matrix
- feature vectors
- locality sensitive hashing
- image classification
- object recognition
- high dimensional feature space
- support vector machine svm
- dimensionality reduction
- face images
- multiscale