Energy-adaptive Riemannian optimization on the Stiefel manifold.
Robert AltmannDaniel PeterseimTatjana StykelPublished in: CoRR (2021)
Keyphrases
- euclidean space
- riemannian manifolds
- manifold learning
- geodesic distance
- riemannian metric
- shape analysis
- fisher information
- lie group
- optimization problems
- tangent space
- optimization algorithm
- symmetric positive definite
- energy consumption
- shape space
- essential matrices
- energy minimization
- optimization method
- energy function
- low dimensional
- data points
- dimension reduction
- finite dimensional
- euclidean distance
- information geometry
- multiscale
- image segmentation