Reproducing kernels of Sobolev spaces via a green kernel approach with differential operators and boundary operators.
Gregory E. FasshauerQi YePublished in: Adv. Comput. Math. (2013)
Keyphrases
- differential operators
- hilbert space
- kernel function
- kernel methods
- positive definite
- scale space
- vector field
- multiple kernel learning
- reproducing kernel hilbert space
- kernel learning
- support vector
- diffusion tensor
- graph kernels
- multiscale
- feature space
- kernel machines
- zero crossing
- gaussian derivatives
- multiple scales
- partial differential equations
- input space
- scale spaces
- kernel matrix
- object boundaries
- support vector machine
- translation invariant
- magnetic resonance images
- feature selection
- euclidean space
- medical images
- denoising
- image processing