Kernel Feature Spaces and Nonlinear Blind Souce Separation.
Stefan HarmelingAndreas ZieheMotoaki KawanabeKlaus-Robert MüllerPublished in: NIPS (2001)
Keyphrases
- feature space
- mercer kernels
- high dimensional feature space
- kernel pca
- kernel function
- kernel principal component analysis
- kernel matrix
- kernel methods
- kernel based nonlinear
- generalized discriminant analysis
- polynomial kernels
- nonlinear kernel
- high dimensional
- feature vectors
- input space
- gaussian kernels
- training samples
- low dimensional
- feature selection
- support vector
- support vector machine
- dimensionality reduction
- feature set
- nearest neighbor search
- image representation
- positive definite
- data points
- hyperplane
- kernel regression
- linearly separable
- nearest neighbor
- dot product
- training set
- feature extraction