Semantic Image Classification Using Statistical Local Spatial Relations Model

Dongfeng Han; Wenhui Li; Zongcheng Li

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Semantic Image Classification Using Statistical Local Spatial Relations Model

机译：基于统计局部空间关系模型的语义图像分类

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摘要

are demonstrated on some standard data sets and show that the SLSR model is a promising model for semantic image classification problems.

机译：在一些标准数据集上进行了证明，并表明SLSR模型是用于语义图像分类问题的有前途的模型。

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来源
《Multimedia Tools and Applications》 |2008年第2期|p.169-188|共20页
作者
Dongfeng Han; Wenhui Li; Zongcheng Li;
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作者单位

College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, People's Republic of China;

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正文语种 eng
中图分类自动化技术、计算机技术;
关键词
statistical local spatial relations model; semantic image classification; variational expectation maximization; invariant local regions; graph model;

机译：统计局部空间关系模型;语义图像分类;变分期望最大化;不变局部区域;图模型;

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Semantic Image Classification Using Statistical Local Spatial Relations Model

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