Low Rank Representation on Riemannian Manifold of Square Root Densities.
Yifan FuJunbin GaoXia HongDavid TienPublished in: CoRR (2015)
Keyphrases
- square root
- riemannian manifolds
- euclidean space
- probability density function
- vector space
- multi class classification
- geodesic distance
- mean shift
- parameter space
- low rank
- shape analysis
- manifold learning
- reproducing kernel hilbert space
- geometric structure
- feature space
- covariance matrix
- probability distribution
- metric space