Keyphrases
- kernel function
- geodesic distance
- euclidean space
- support vector
- kernel methods
- shortest path
- support vector machine
- manifold learning
- feature space
- euclidean distance
- high dimensional
- distance transform
- riemannian manifolds
- positive definite
- kernel matrix
- geometric structure
- reproducing kernel hilbert space
- feature set
- support vectors
- shape space
- distance metric
- gaussian mixture
- data points
- data sets
- supervised learning
- semi supervised
- active learning
- data analysis
- representer theorem