Nonlinear feature extraction based on centroids and kernel functions.
Cheong Hee ParkHaesun ParkPublished in: Pattern Recognit. (2004)
Keyphrases
- kernel function
- kernel principal component analysis
- high dimensional feature space
- feature extraction
- kernel pca
- feature space
- kernel methods
- support vector
- kernel matrix
- input space
- gaussian kernels
- support vector machine
- support vector regression
- hyperplane
- feature set
- feature vectors
- support vectors
- polynomial kernels
- high dimensional
- data points
- image processing
- kernel trick
- neural network
- reproducing kernel hilbert space
- multiple kernel learning
- dimensionality reduction
- feature selection
- data sets
- kernel matrices
- kernel learning
- low dimensional
- principal component analysis
- computer vision