Differentiating densities on smooth manifolds.

Adam A. Sliwiak Qiqi Wang

Published in: CoRR (2021)

Keyphrases

euclidean space
manifold learning
low dimensional
kernel density estimators
principal curves
arbitrary dimension
computer vision
probability density
high dimensional
probability density function
riemannian manifolds
similarity measure
case study
locally linear
cell complexes
neural network
endoscopic video