Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization

Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization

© 2016 IEEE. Markov random fields (MRFs) are a popular model for several pattern recognition and reconstruction problems in robotics and computer vision. Inference in MRFs is intractable in general and related work resorts to approximation algorithms. Among those techniques, semidefinite programming...

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Bibliographic Details
Main Authors: Hu, Siyi, Carlone, Luca
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/135043

Internet

https://hdl.handle.net/1721.1/135043

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