Nonlinear Isometric Manifold Learning for Injective Normalizing Flows.
Eike CramerFelix RauhAlexander MitsosRaúl TemponeManuel DahmenPublished in: CoRR (2022)
Keyphrases
- manifold learning
- nonlinear manifold learning
- principal curves
- nonlinear manifold
- low dimensional manifolds
- feature mapping
- manifold embedding
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- diffusion maps
- dimensionality reduction
- laplacian eigenmaps
- head pose estimation
- feature extraction
- subspace learning
- dimension reduction
- high dimensional
- manifold structure
- sparse representation
- high dimensional data
- manifold learning algorithm
- locally linear embedding
- underlying manifold
- geodesic distance
- feature space
- image classification
- image features
- object recognition
- discriminant projection
- pattern recognition