Matern Gaussian processes on Riemannian manifolds.
Viacheslav BorovitskiyAlexander TereninPeter MostowskyMarc Peter DeisenrothPublished in: CoRR (2020)
Keyphrases
- gaussian processes
- riemannian manifolds
- euclidean space
- gaussian process
- vector space
- reproducing kernel hilbert space
- multi task learning
- geometric structure
- feature space
- parameter space
- geodesic distance
- mean shift
- hyperparameters
- manifold learning
- multi task
- covariance matrices
- kernel pca
- em algorithm
- nearest neighbor
- semi supervised
- data points
- decision trees