Fast Manifold Learning Based on Riemannian Normal Coordinates.
Anders BrunCarl-Fredrik WestinMagnus HerberthsonHans KnutssonPublished in: SCIA (2005)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- geodesic distance
- nonlinear dimensionality reduction
- diffusion maps
- dimension reduction
- high dimensional
- subspace learning
- high dimensional data
- semi supervised
- laplacian eigenmaps
- riemannian manifolds
- feature extraction
- head pose estimation
- manifold structure
- feature space
- sparse representation
- neural network
- object recognition
- pattern recognition
- locally linear embedding
- low dimensional manifolds
- data mining