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

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

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Detalles Bibliográficos
Autores principales: Chen, Zhuo, Yang, Hongyu, Liu, Yanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048417/
https://www.ncbi.nlm.nih.gov/pubmed/36981423
http://dx.doi.org/10.3390/e25030535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048417/
https://www.ncbi.nlm.nih.gov/pubmed/36981423
http://dx.doi.org/10.3390/e25030535

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