Canonical normalizing flows for manifold learning.

Kyriakos Flouris Ender Konukoglu

Published 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