A Robust Method for Kernel Principal Component Analysis.
Duo WangToshihisa TanakaPublished in: ICAIIC (2020)
Keyphrases
- kernel principal component analysis
- discriminant analysis
- kernel pca
- principal components
- feature extraction
- preprocessing
- kernel function
- principal component analysis
- feature space
- kernel methods
- high dimensional
- linear discriminant analysis
- face recognition
- kernel matrix
- kernel fisher discriminant analysis
- small number of training samples
- gabor wavelets
- classification method
- high dimensional feature space
- support vector machine svm
- computer vision
- learning algorithm
- feature vectors
- subspace methods
- graph kernels
- pairwise