Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- high dimensional
- diffusion maps
- feature extraction
- dimension reduction
- high dimensional data
- subspace learning
- manifold structure
- head pose estimation
- manifold learning algorithm
- sparse representation
- geodesic distance
- laplacian eigenmaps
- locally linear embedding
- locality preserving
- nonlinear manifold
- intrinsic manifold
- least squares
- feature space
- riemannian manifolds
- linear discriminant analysis
- locality preserving projections
- signal processing
- feature vectors
- preprocessing
- discriminant projection
- pattern recognition