An incremental trust-region method for Robust online sparse least-squares estimation

Many online inference problems in computer vision and robotics are characterized by probability distributions whose factor graph representations are sparse and whose factors are all Gaussian functions of error residuals. Under these conditions, maximum likelihood estimation corresponds to solving a...

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Bibliographic Details
Main Authors: Rosen, David Matthew, Kaess, Michael, Leonard, John Joseph
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Online Access:http://hdl.handle.net/1721.1/78897
https://orcid.org/0000-0002-8863-6550
https://orcid.org/0000-0001-8964-1602