Manifold Learning for Robot Navigation.
Narongdech KeeratipranonFrédéric MaireHenry HuangPublished in: Int. J. Neural Syst. (2006)
Keyphrases
- manifold learning
- robot navigation
- autonomous robots
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- diffusion maps
- dimension reduction
- laplacian eigenmaps
- feature extraction
- high dimensional data
- scene understanding
- sparse representation
- locally linear embedding
- manifold structure
- data sets
- principal component analysis