Two manifold learning techniques for sensor localization.
Hui LiuXun LuoYingwei YaoPublished in: SMC (2007)
Keyphrases
- manifold learning
- low dimensional
- semi supervised
- dimensionality reduction
- high dimensional
- subspace learning
- diffusion maps
- laplacian eigenmaps
- feature extraction
- nonlinear dimensionality reduction
- sparse representation
- high dimensional data
- discriminant projection
- manifold learning algorithm
- manifold structure
- principal component analysis
- locally linear embedding
- head pose estimation
- locality preserving projections
- locality preserving
- geodesic distance
- supervised learning
- preprocessing