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Semantic image annotation based on GMM and random walk model

Tian Dongping

高技术通讯（英文版）2017，Vol.23Issue(2)：221-228,8.

高技术通讯（英文版）2017，Vol.23Issue(2)：221-228,8.DOI:10.3772/j.issn.1006-6748.2017.02.015

Semantic image annotation based on GMM and random walk model

Tian Dongping¹

作者信息

1. Institute of Computer Software, Baoji University of Arts and Sciences, Baoji 721007, P.R.China;Institute of Computational Information Science, Baoji University of Arts and Sciences, Baoji 721007, P.R.Chinas
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摘要

关键词

semantic image annotation/Gaussian mixture model (GMM)/random walk/rivalpenalized expectation maximization (RPEM)/image retrieval

Key words

semantic image annotation/Gaussian mixture model (GMM)/random walk/rivalpenalized expectation maximization (RPEM)/image retrieval

引用本文复制引用

Tian Dongping..Semantic image annotation based on GMM and random walk model[J].高技术通讯（英文版）,2017,23(2):221-228,8.

基金项目

Supported by the National Basic Research Program of China (No.2013CB329502), the National Natural Science Foundation of China (No. 61202212), the Special Research Project of the Educational Department of Shaanxi Province of China (No.15JK1038) and the Key Research Project of Baoji University of Arts and Sciences (No.ZK16047). （No.2013CB329502）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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