Rotating Non-Uniform and High-Dimensional Constellations Using Geodesic Flow on Lie Groups.
David A. KarpukCamilla HollantiPublished in: CoRR (2013)
Keyphrases
- lie group
- high dimensional
- parameter space
- low dimensional
- euclidean space
- geodesic distance
- riemannian manifolds
- infinite dimensional
- geometric structure
- flow field
- dimensionality reduction
- feature space
- covariance matrices
- vector field
- vector space
- nearest neighbor
- high dimensional data
- similarity search
- data points
- metric space
- shortest path
- manifold learning
- rigid motion
- principal component analysis