Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- laplacian eigenmaps
- feature extraction
- diffusion maps
- head pose estimation
- high dimensional data
- dimension reduction
- subspace learning
- manifold learning algorithm
- locally linear embedding
- locality preserving
- sparse representation
- geodesic distance
- discriminant projection
- manifold structure
- riemannian manifolds
- low dimensional manifolds
- input data
- feature space
- machine learning
- nonlinear manifold
- data sets