Fast Independent Component Analysis in Kernel Feature Spaces.
András KocsorJános CsirikPublished in: SOFSEM (2001)
Keyphrases
- independent component analysis
- feature space
- principal component analysis
- independent components
- kernel matrix
- kernel function
- factor analysis
- polynomial kernels
- independent subspace analysis
- principle component analysis
- signal processing
- kernel methods
- component analysis
- high dimensional
- feature vectors
- kernel pca
- training samples
- high dimensional feature space
- feature selection
- dimensionality reduction
- blind source separation
- low dimensional
- input space
- hyperplane
- support vector machine
- neural network
- training set
- principal components
- support vector
- pattern recognition
- natural gradient
- linear discriminant analysis
- mixing matrix
- single channel
- blind signal separation
- source separation
- covariance matrix
- discriminant analysis
- non stationary
- support vector machine svm
- image representation
- face images
- data points
- image processing
- learning algorithm