On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem.
Raúl Cruz-BarbosaDavid Bautista-VillavicencioAlfredo VellidoPublished in: CIARP (2011)
Keyphrases
- geodesic distance
- dimensionality reduction
- manifold learning
- euclidean distance
- multidimensional scaling
- euclidean space
- shortest path
- high dimensionality
- neural network
- high dimensional data
- feature extraction
- fisher information
- geometric structure
- distance transform
- high dimensional
- pattern recognition
- sparse representation
- low dimensional
- principal component analysis
- data points
- linear discriminant analysis
- riemannian manifolds
- feature selection
- semi supervised
- gaussian mixture
- feature space
- image sequences