Sampling Over Riemannian Manifolds Using Kernel Herding.
Sandesh AdhikaryByron BootsPublished in: ICRA (2022)
Keyphrases
- riemannian manifolds
- parameter space
- euclidean space
- reproducing kernel hilbert space
- feature space
- vector space
- mean shift
- manifold learning
- multi class classification
- random sampling
- high dimensional
- covariance matrix
- kernel function
- sample size
- covariance matrices
- feature extraction
- kernel methods
- dimensionality reduction
- shape analysis
- input space
- multi class