Locally isometric embeddings of quotients of the rotation group modulo finite symmetries.

Ralf Hielscher Laura Lippert

Published in: J. Multivar. Anal. (2021)

Keyphrases

low dimensional
euclidean space
manifold learning
rotation invariant
dimensionality reduction
finite number
high dimensional data
unit length
finite dimensional
group members
invariant features
data sets
principal component analysis
data points
high dimensional
multiscale
feature extraction
genetic algorithm