Robust and optimal alignment of high-dimensional data using maximum likelihood estimation through a random sample consensus framework
Crossref DOI link: https://doi.org/10.1007/s41060-023-00492-8
Published Online: 2024-01-16
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Watts, Adam
Harvey, Dustin
Funding for this research was provided by:
U.S. Department of Energy
Text and Data Mining valid from 2024-01-16
Version of Record valid from 2024-01-16
Article History
Received: 18 August 2023
Accepted: 5 December 2023
First Online: 16 January 2024