Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration
Work
Year: 2019
Type: article
Abstract: We present a framework to simultaneously align and smoothen data in the form of multiple point clouds sampled from unknown densities with support in a $d$-dimensional Euclidean space. This work is mo... more
Cites: 41
Cited by: 18
Related to: 10
FWCI: 5.242
Citation percentile (by year/subfield): 84.67
Subfield: Applied Mathematics
Field: Mathematics
Domain: Physical Sciences
Open Access status: green