Canonical normalizing flows for manifold learning.
Kyriakos FlourisEnder KonukogluPublished in: CoRR (2023)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- high dimensional
- laplacian eigenmaps
- dimension reduction
- feature extraction
- diffusion maps
- subspace learning
- high dimensional data
- manifold learning algorithm
- sparse representation
- head pose estimation
- locality preserving
- feature space
- active learning
- nonlinear manifold
- pairwise
- high dimensionality
- data mining
- supervised learning
- data analysis
- latent space
- manifold structure
- object recognition
- training data
- similarity measure