A Global Cayley Parametrization of Stiefel Manifold for Direct Utilization of Optimization Mechanisms Over Vector Spaces.
Keita KumeIsao YamadaPublished in: ICASSP (2021)
Keyphrases
- euclidean space
- vector space
- riemannian manifolds
- low dimensional
- geodesic distance
- similarity search
- metric space
- finite dimensional
- riemannian metric
- intrinsic dimensionality
- distance measure
- shape analysis
- covariance matrices
- high dimensional
- lie group
- high dimensional data
- data points
- feature vectors
- pattern recognition
- euclidean distance
- manifold learning
- multi class classification
- feature space
- fisher information
- support vector