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