Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- manifold learning algorithm
- high dimensional
- semi supervised
- manifold structure
- dimensionality reduction
- diffusion maps
- laplacian eigenmaps
- subspace learning
- nonlinear manifold
- head pose estimation
- geodesic distance
- feature extraction
- dimension reduction
- low dimensional manifolds
- locally linear embedding
- locality preserving
- sparse representation
- high dimensional data
- intrinsic manifold
- linear subspace
- embedding space
- feature space
- locality preserving projections
- latent space
- high dimensionality
- nearest neighbor