Intrinsic Isometric Manifold Learning with Application to Localization.
Ariel SchwartzRonen TalmonPublished in: CoRR (2018)
Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- high dimensional
- feature extraction
- diffusion maps
- laplacian eigenmaps
- dimension reduction
- subspace learning
- low dimensional manifolds
- high dimensional data
- locality preserving
- manifold learning algorithm
- neural network
- euclidean space
- geodesic distance
- least squares
- pattern recognition
- similarity measure