Nonparametric two-sample tests on homogeneous Riemannian manifolds, Cholesky decompositions and Diffusion Tensor Image analysis.
Daniel E. OsborneVic PatrangenaruLeif EllingsonDavid GroisserArmin SchwartzmanPublished in: J. Multivar. Anal. (2013)
Keyphrases
- riemannian manifolds
- diffusion tensor
- symmetric positive definite
- image analysis
- log euclidean
- euclidean space
- magnetic resonance images
- dt mri
- white matter
- anisotropic diffusion
- pattern recognition
- riemannian metric
- positive definite
- multi class classification
- geometric structure
- vector space
- kernel matrix
- diffusion tensor imaging
- computer vision
- medical imaging
- image processing
- mean shift
- parameter space
- manifold learning
- lie group
- covariance matrices
- tensor field
- feature selection
- reproducing kernel hilbert space
- feature space
- geodesic distance
- magnetic resonance imaging
- feature vectors
- density estimation
- shape analysis
- probability density function