1 citations · 1 across the 4 of their papers we have counts for
4 papers
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport
Michael Wilson, Tom Needham, Anuj Srivastava
Wasserstein distances form a family of metrics on spaces of probability measures that have recently seen many applications. However, statistical analysis in these spaces is complex…
Statistical Emulations of Human Operational Motions in Industrial Environments
Yanliang Chen, Chiwoo Park, Anuj Srivastava
This paper tackles the challenging problem of developing emulators for human operational motions in industrial workplaces. We represent human motion as time-indexed sequences of bo…
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…
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…