Canonical normalizing flows for manifold learning.
Kyriakos FlourisEnder KonukogluPublished in: NeurIPS (2023)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- dimension reduction
- nonlinear dimensionality reduction
- diffusion maps
- semi supervised
- high dimensional data
- subspace learning
- high dimensional
- feature extraction
- manifold structure
- feature space
- laplacian eigenmaps
- head pose estimation
- locally linear embedding
- manifold learning algorithm
- locality preserving
- machine learning
- geodesic distance
- microarray
- data points
- decision trees
- locality preserving projections
- image processing
- low dimensional manifolds
- learning algorithm
- data sets