Inference for order reduction in Markov random fields

This paper presents an algorithm for order reduction of factors in High-Order Markov Random Fields (HOMRFs). Standard techniques for transforming arbitrary high-order factors into pairwise ones have been known for a long time. In this work, we take a fresh look at this problem with the following mot...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Gallagher, A. C., Batra, D., Parikh, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Approximation algorithms Gold Inference algorithms Labeling Markov random fields Polynomials Search problems
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