An Order Reduction Design Framework for Higher-Order Binary Markov Random Fields

An Order Reduction Design Framework for Higher-Order Binary Markov Random Fields

The order reduction method is an important approach to optimize <i>higher-order binary Markov random fields</i> (HoMRFs), which are widely used in information theory, machine learning and image analysis. It transforms an HoMRF into an equivalent and easier <i>reduced first-order bi...

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Bibliographic Details
Main Authors: Zhuo Chen, Hongyu Yang, Yanli Liu
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Entropy
Subjects:
Markov random field
discrete optimization
energy minimization
order reduction method
higher-order binary MRF
image desnoising
Online Access:https://www.mdpi.com/1099-4300/25/3/535

Internet

https://www.mdpi.com/1099-4300/25/3/535

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