Geodesic Least Squares Regression on the Gaussian Manifold with an Application in Astrophysics.
Geert VerdoolaegePublished in: GSI (2017)
Keyphrases
- geodesic distance
- riemannian metric
- covariance matrices
- gaussian mixture
- manifold learning
- shape space
- maximum likelihood
- euclidean space
- gaussian mixture model
- covariance matrix
- particle physics
- shortest path
- riemannian manifolds
- gaussian distribution
- information geometry
- low dimensional
- zero crossing
- shape representation
- fisher information
- heat kernel
- euclidean distance
- geodesic paths
- distances between data points
- feature space
- square root
- gaussian noise
- parameter space
- distance measure