Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- dimension reduction
- high dimensional
- diffusion maps
- feature extraction
- subspace learning
- high dimensional data
- manifold learning algorithm
- closed form
- laplacian eigenmaps
- preprocessing step
- pattern recognition
- low dimensional manifolds
- head pose estimation
- locality preserving
- curve fitting
- nearest neighbor
- high dimensionality
- sparse representation
- nonlinear manifold
- discriminant projection
- machine learning
- locally linear embedding
- manifold embedding
- embedding space
- multiscale
- riemannian manifolds
- feature space
- microarray
- pairwise
- active learning