Greedy Kernel Principal Component Analysis.
Vojtech FrancVáclav HlavácPublished in: Cognitive Vision Systems (2006)
Keyphrases
- kernel principal component analysis
- kernel pca
- discriminant analysis
- principal components
- principal component analysis
- feature extraction
- preprocessing
- kernel function
- kernel fisher discriminant analysis
- feature space
- high dimensional
- kernel methods
- feature vectors
- classification method
- kernel matrix
- face recognition
- feature selection
- high dimensional feature space
- support vector machine svm
- small number of training samples
- linear discriminant analysis
- gabor wavelets
- linear combination
- dimensionality reduction
- semi supervised
- subspace methods
- pattern recognition
- machine learning