Normalization and preimage problem in gaussian kernel PCA.
Nicolas ThorstensenFlorent SégonneRenaud KerivenPublished in: ICIP (2008)
Keyphrases
- kernel pca
- principal component analysis
- kernel methods
- laplacian eigenmaps
- kernel function
- feature space
- spectral clustering
- kernel principal component analysis
- face recognition
- dimensionality reduction
- hyperplane
- input space
- preprocessing
- maximum likelihood
- component analysis
- kernel matrix
- feature extraction
- linear discriminant analysis
- clustering method
- support vector
- nearest neighbor
- manifold learning
- discriminant analysis
- computer vision
- support vector machine
- image processing