Intrinsic Isometric Manifold Learning with Application to Localization.
Ariel SchwartzRonen TalmonPublished in: SIAM J. Imaging Sci. (2019)
Keyphrases
- manifold learning
- low dimensional
- diffusion maps
- high dimensional
- subspace learning
- dimensionality reduction
- nonlinear dimensionality reduction
- feature extraction
- semi supervised
- laplacian eigenmaps
- manifold structure
- dimension reduction
- discriminant projection
- locality preserving
- multiscale
- geodesic distance
- geometric structure
- riemannian manifolds
- locally linear embedding
- sparse representation
- distance function
- head pose estimation
- support vector machine svm
- preprocessing
- underlying manifold
- data mining