Riemannian Geometry with differentiable ambient space and metric operator.
Du NguyenPublished in: CoRR (2021)
Keyphrases
- geodesic distance
- tangent space
- riemannian manifolds
- euclidean metric
- riemannian metric
- geometric structure
- low dimensional
- three dimensional
- information geometry
- fisher information
- manifold learning
- euclidean space
- linear subspace
- vector space
- ambient intelligence
- embedding space
- high dimensional data
- low dimensional manifolds
- dual space
- multi dimensional scaling
- objective function
- feature space
- euclidean distance
- finite dimensional
- infinite dimensional
- distance measure
- dimensionality reduction
- search space