Rectangular Flows for Manifold Learning.
Anthony L. CateriniGabriel Loaiza-GanemGeoff PleissJohn P. CunninghamPublished in: CoRR (2021)
Keyphrases
- manifold learning
- dimensionality reduction
- semi supervised
- subspace learning
- nonlinear dimensionality reduction
- low dimensional
- diffusion maps
- high dimensional
- high dimensional data
- sparse representation
- feature extraction
- dimension reduction
- head pose estimation
- laplacian eigenmaps
- manifold learning algorithm
- manifold structure
- preprocessing
- embedding space
- locality preserving
- semi supervised learning
- nearest neighbor
- locality preserving projections
- neural network
- manifold embedding
- nonlinear manifold
- discriminant embedding