Keyphrases
- manifold learning
- mathematical foundations
- low dimensional
- semi supervised
- dimensionality reduction
- diffusion maps
- feature extraction
- high dimensional
- nonlinear dimensionality reduction
- subspace learning
- manifold structure
- dimension reduction
- high dimensional data
- geodesic distance
- sparse representation
- head pose estimation
- laplacian eigenmaps
- feature space
- locality preserving projections
- manifold learning algorithm
- locality preserving
- neural network
- latent space
- data points
- low dimensional manifolds
- pattern recognition