Keyphrases
- manifold learning
- sketch recognition
- low dimensional
- semi supervised
- high dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- diffusion maps
- dimension reduction
- feature extraction
- laplacian eigenmaps
- high dimensional data
- subspace learning
- gesture recognition
- sparse representation
- head pose estimation
- geodesic distance
- low dimensional manifolds
- locally linear embedding
- nonlinear manifold
- data sets
- high dimensionality
- singular value decomposition
- nearest neighbor
- training data
- computer vision