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...
Main Authors: | Rosen, David Matthew (Contributor), Kaess, Michael (Contributor), Leonard, John Joseph (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2013-05-15T15:05:05Z.
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Subjects: | |
Online Access: | Get fulltext |
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