Invariance in Kernel Methods by Haar-Integration Kernels.
Bernard HaasdonkA. VossenHans BurkhardtPublished in: SCIA (2005)
Keyphrases
- kernel methods
- kernel function
- support vector
- kernel matrices
- multiple kernel
- learning problems
- reproducing kernel hilbert space
- multiple kernel learning
- machine learning
- support vector machine
- kernel matrix
- gaussian kernel
- similarity function
- positive definite kernels
- learning tasks
- kernel parameters
- graph kernels
- kernel fisher discriminant analysis
- feature space
- kernel principal component analysis
- data sets
- positive semidefinite
- kernel trick
- high dimensional feature space
- principal component analysis
- reproducing kernel