Nonlinear Shape Statistics via Kernel Spaces.
Daniel CremersTimo KohlbergerChristoph SchnörrPublished in: DAGM-Symposium (2001)
Keyphrases
- kernel pca
- generalized discriminant analysis
- kernel function
- kernel based nonlinear
- kernel principal component analysis
- discriminant subspace
- kernel methods
- discriminant analysis
- high dimensional feature space
- principal components
- principal component analysis
- high order
- hilbert space
- gaussian processes
- feature selection
- reproducing kernel hilbert space
- kernel matrix
- riemannian manifolds
- component analysis
- multiple kernel learning
- input space
- similarity function
- pairwise
- support vector