Rectangular Flows for Manifold Learning.
Anthony L. CateriniGabriel Loaiza-GanemGeoff PleissJohn P. CunninghamPublished in: NeurIPS (2021)
Keyphrases
- manifold learning
- low dimensional
- high dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- dimension reduction
- diffusion maps
- subspace learning
- sparse representation
- feature extraction
- geodesic distance
- high dimensional data
- low dimensional manifolds
- head pose estimation
- laplacian eigenmaps
- manifold learning algorithm
- locally linear embedding
- manifold structure
- locality preserving projections
- locality preserving
- data sets
- intrinsic manifold
- riemannian manifolds
- linear discriminant analysis
- clustering method
- signal processing
- feature space
- object recognition
- pattern recognition
- computer vision
- machine learning