Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation.
Yi YangFeiping NieShiming XiangYueting ZhuangWenhua WangPublished in: AAAI (2010)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- diffusion maps
- embedding space
- high dimensional
- subspace learning
- dimension reduction
- high dimensional data
- feature extraction
- head pose estimation
- manifold learning algorithm
- underlying manifold
- latent space
- laplacian eigenmaps
- locality preserving
- manifold embedding
- geodesic distance
- low dimensional manifolds
- intrinsic manifold
- locally linear embedding
- sparse representation
- feature space