Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds.
Reza GodazBenyamin GhojoghReshad HosseiniReza MonsefiFakhri KarrayMark CrowleyPublished in: CoRR (2021)
Keyphrases
- symmetric positive definite
- riemannian manifolds
- vector space
- positive definite
- euclidean space
- distribution function
- lie group
- diffusion tensor
- von neumann
- geometric structure
- manifold learning
- mean shift
- parameter space
- low dimensional
- covariance matrices
- multi class classification
- dimensionality reduction
- riemannian metric
- feature space
- similarity measure
- feature vectors
- high dimensional