Matrix-based Kernel Principal Component analysis for large-scale data set.
Weiya ShiYue-Fei GuoXiangyang XuePublished in: IJCNN (2009)
Keyphrases
- kernel principal component analysis
- large scale data sets
- kernel pca
- principal components
- discriminant analysis
- kernel matrix
- principal component analysis
- feature extraction
- preprocessing
- kernel methods
- kernel function
- low rank
- data sets
- classification method
- face recognition
- singular value decomposition
- real world
- gabor wavelets
- feature space
- high dimensional feature space
- covariance matrix
- feature vectors
- support vector machine
- support vector machine svm
- image classification
- input space
- data analysis
- support vector