马尔可夫随机场的信息论表征及其应用

Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252) Pub Date : 1998-08-16 DOI:10.1109/ISIT.1998.708657

Raymond W. Yeung, Tony T. Lee, Z. Ye

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引用次数: 4

摘要

本文用所涉及的随机变量的无条件联合熵获得了马尔可夫随机场(MRF)的非冗余表征。确定了以磁流变函数为条件的信息表达式的规范形式，确定了磁流变函数的香农信息测度的维度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An information-theoretic characterization of Markov random fields and its applications

We obtain a non-redundant characterization of a Markov random field (MRF) in terms of the unconditional joint entropies of the random variables involved. A canonical form for information expressions conditioning on a MRF is identified, and the dimension of the Shannon's information measures of a MRF is determined.

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来源期刊

Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252)

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