Manifold Learning with Sparse Regularised Optimal Transport.
Stephen ZhangGilles MordantTetsuya MatsumotoGeoffrey SchiebingerPublished in: CoRR (2023)
Keyphrases
- manifold learning
- high dimensional
- sparse representation
- low dimensional
- semi supervised
- dimensionality reduction
- dimension reduction
- high dimensional data
- subspace learning
- diffusion maps
- nonlinear dimensionality reduction
- feature extraction
- head pose estimation
- laplacian eigenmaps
- image classification
- manifold structure
- locality preserving
- underlying manifold
- discriminant projection
- clustering method
- random projections
- data analysis
- pattern recognition
- low dimensional manifolds
- computer vision