Riemannian metric optimization on surfaces (RMOS) for intrinsic brain mapping in the Laplace-Beltrami embedding space.
Jin-Kyu GahmYonggang ShiPublished in: Medical Image Anal. (2018)
Keyphrases
- laplace beltrami
- riemannian metric
- embedding space
- riemannian manifolds
- shape space
- geometric structure
- shape analysis
- euclidean space
- vector space
- shape representation
- geodesic distance
- low dimensional
- manifold learning
- high dimensional
- graph laplacian
- covariance matrices
- dimensionality reduction
- graph embedding
- point cloud
- shape model
- basis functions
- data points
- input space
- feature space
- kernel machines
- tensor field
- semi supervised
- dynamic time warping
- multi class classification
- reproducing kernel hilbert space
- shape variations