Galerkin-Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds.
Annika LangMike PereiraPublished in: CoRR (2021)
Keyphrases
- random fields
- riemannian manifolds
- random field model
- covariance matrices
- markov random field
- euclidean space
- parameter estimation
- conditional random fields
- maximum entropy
- non stationary
- probabilistic model
- vector space
- maximum likelihood
- geodesic distance
- manifold learning
- mean shift
- feature space
- covariance matrix
- geometric structure
- parameter space
- multi class classification
- gaussian mixture
- partial differential equations
- closed form
- multiscale
- pairwise
- gaussian distribution
- shape analysis
- image processing
- graph cuts
- least squares
- reproducing kernel hilbert space