Generation of point sets by convex optimization for interpolation in reproducing kernel Hilbert spaces.
Ken'ichiro TanakaPublished in: Numer. Algorithms (2020)
Keyphrases
- convex optimization
- point sets
- reproducing kernel hilbert space
- point correspondences
- low rank
- pairwise
- kernel matrix
- loss function
- convex hull
- total variation
- euclidean space
- distance function
- metric space
- input space
- kernel methods
- kernel function
- density estimation
- special case
- learning problems
- distance measure
- data points
- learning algorithm