2 papers
stat.CO2024
Reducing Shape-Graph Complexity with Application to Classification of Retinal Blood Vessels and Neurons
Benjamin Beaudett, Anuj Srivastava
Shape graphs are complex geometrical structures commonly found in biological and anatomical systems. A shape graph is a collection of nodes, some connected by curvilinear edges wit…
stat.ME2023
A Wasserstein-type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis
Michael Wilson, Tom Needham, Chiwoo Park +2
This paper uses sample data to study the problem of comparing populations on finite-dimensional parallelizable Riemannian manifolds and more general trivial vector bundles. Utilizi…