Rethinking the Riemannian Logarithm on Flag Manifolds as an Orthogonal Alignment Problem.
Tom SzwagierXavier PennecPublished in: GSI (1) (2023)
Keyphrases
- manifold learning
- riemannian manifolds
- lie group
- euclidean space
- manifold alignment
- information geometry
- tangent space
- geodesic distance
- geodesic paths
- low dimensional
- log euclidean
- shape analysis
- information theory
- dynamic time warping
- parameter space
- affine invariant
- infinite dimensional
- euclidean distance
- fisher information
- riemannian metric
- high dimensional
- feature extraction
- dimension reduction
- vector space
- vector field
- sparse representation
- distance measure
- image registration
- feature space