Incomplete Cholesky decomposition based kernel principal component analysis for large-scale data set.
Weiya ShiYue-Fei GuoPublished in: IJCNN (2010)
Keyphrases
- kernel principal component analysis
- gram matrix
- large scale data sets
- kernel matrix
- kernel pca
- kernel function
- discriminant analysis
- principal components
- kernel methods
- feature extraction
- principal component analysis
- data sets
- preprocessing
- feature space
- support vector machine
- high dimensional
- real world
- face recognition
- low rank
- classification method
- linear discriminant analysis
- metric learning
- gabor wavelets
- missing data
- high dimensional feature space
- support vectors
- support vector machine svm
- feature set
- pattern recognition
- neural network