Hierarchical Manifold Learning.
Kanwal K. BhatiaAnil RaoAnthony N. PriceRobin WolzJoseph V. HajnalDaniel RueckertPublished in: MICCAI (1) (2012)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- semi supervised
- diffusion maps
- feature extraction
- manifold learning algorithm
- laplacian eigenmaps
- subspace learning
- high dimensional data
- head pose estimation
- dimension reduction
- manifold structure
- manifold embedding
- feature space
- discriminant projection
- locally linear embedding
- locality preserving
- latent space
- data points
- graph embedding
- geodesic distance
- nonlinear manifold
- intrinsic manifold