Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces.

Elodie Maignant Alain Trouvé Xavier Pennec

Published in: GSI (1) (2023)

Keyphrases

manifold learning
dimensionality reduction
multi dimensional
neural network
computer vision
similarity measure
feature vectors
high dimensional data
subspace learning
locally linear embedding
nonlinear dimensionality reduction