Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric.
Raúl V. Casaña EslavaJosé David Martín-GuerreroSandra Ortega-MartorellPaulo J. G. LisboaIan H. JarmanPublished in: IJCNN (2019)
Keyphrases
- fisher information
- geodesic distance
- riemannian manifolds
- euclidean space
- riemannian metric
- euclidean distance
- manifold learning
- shortest path
- geometric structure
- metric space
- shape space
- vector space
- probability density function
- distance transform
- shape analysis
- log euclidean
- distance function
- distance measure
- noise level
- low dimensional
- reproducing kernel hilbert space
- data points
- multidimensional scaling
- lie group
- pairwise
- positive definite
- feature vectors
- feature selection