On the Convergence of Eigenspaces in Kernel Principal Component Analysis.
Laurent ZwaldGilles BlanchardPublished in: NIPS (2005)
Keyphrases
- kernel principal component analysis
- kernel pca
- principal components
- discriminant analysis
- feature extraction
- principal component analysis
- kernel function
- preprocessing
- feature space
- kernel methods
- face recognition
- small number of training samples
- kernel fisher discriminant analysis
- high dimensional
- feature vectors
- input space
- kernel matrix
- classification method
- dimensionality reduction
- high dimensional feature space
- graph kernels
- neural network
- machine learning
- data sets
- support vector machine svm
- semi supervised
- computer vision
- learning algorithm