Kernel PCA for quantization of analog vectors on a pyramid.
José Gabriel Rodríguez Carneiro GomesSanjit K. MitraPublished in: NNSP (2003)
Keyphrases
- kernel pca
- successive approximation
- principal component analysis
- kernel methods
- laplacian eigenmaps
- kernel principal component analysis
- high dimensional feature space
- feature space
- dimensionality reduction
- kernel function
- spectral clustering
- multiscale
- multiresolution
- feature vectors
- face recognition
- input space
- kernel matrix
- principal components
- linear discriminant analysis
- feature extraction
- independent component analysis
- vector space
- input image
- support vector machine