Keyphrases
- feature mapping
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- laplacian eigenmaps
- dimensionality reduction
- dimension reduction
- feature extraction
- subspace learning
- feature space
- locally linear embedding
- shape representation
- euclidean space
- high dimensional data
- multiple instance learning
- shape descriptors
- geodesic distance
- riemannian manifolds
- data analysis
- pattern recognition