| 一种引入隐藏节点的贝叶斯网络方法 |
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| 引用本文： | 虞欣,郑肇葆. 一种引入隐藏节点的贝叶斯网络方法[J]. 测绘科学, 2011, 36(5): 157-159,239 |
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| 作者姓名： | 虞欣 郑肇葆 |
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| 作者单位： | 1. 北京市测绘设计研究院,北京,100038
2. 武汉大学遥感信息工程学院,武汉,430079 |
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| 基金项目： | 国家自然科学基金资助项目(40571102) |
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| 摘 要： | 针对简单贝叶斯分类器(NBC)中“天真”而又苛刻的条件独立假设,本文结合Fisher准则提出了一种在贝叶斯网络中引入隐藏节点的方法,用来松弛或放宽这个过于严格而且不现实的假设条件.隐藏节点的引入可以更好地描述问题,进而更好地解决贝叶斯网络在分类中的应用.实验表明,本文提出的方法可以比NBC获得更高的分类精度和更好的稳定...
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| 关 键 词： | 贝叶斯网络 隐藏节点 纹理 影像 分类 |
A method on Bayesian Network with hidden nodes |
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| YU Xin,ZHENG Zhao-bao. A method on Bayesian Network with hidden nodes[J]. Science of Surveying and Mapping, 2011, 36(5): 157-159,239 |
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| Authors: | YU Xin ZHENG Zhao-bao |
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| Affiliation: | ②(①Beijing Institute of Surveying and Mapping,Beijing 100038,China;②School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China) |
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| Abstract: | In this paper,on the basis of the study of Naive Bayes Classifiers(NBC),a method,Bayesian Network with hidden nodes,was proposed to relax the independent assumption and applied to texture classification of aerial image.The experiment results demonstrated that the method performed better in overall classification precision than NBC and PCA-NBC. |
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| Keywords: | Bayesian Network hidden nodes texture image classification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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