Feature Extraction Based on Mixture Probabilistic Kernel Principal Component Analysis.
Huibo ZhaoQuan PanYongmei ChengPublished in: IFITA (3) (2009)
Keyphrases
- kernel principal component analysis
- feature extraction
- kernel pca
- discriminant analysis
- preprocessing
- principal component analysis
- principal components
- feature space
- kernel function
- kernel fisher discriminant analysis
- face recognition
- kernel matrix
- kernel methods
- feature vectors
- gabor wavelets
- high dimensional
- support vector machine svm
- classification method
- linear discriminant analysis
- probabilistic model
- dimensionality reduction
- subspace methods
- feature selection