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Semi-supervised learning based probabilistic latent semantic analysis for automatic image annotation

Tian Dongping

高技术通讯（英文版）2017，Vol.23Issue(4)：367-374,8.

高技术通讯（英文版）2017，Vol.23Issue(4)：367-374,8.DOI:10.3772/j.issn.1006-6748.2017.04.004

Semi-supervised learning based probabilistic latent semantic analysis for automatic image annotation

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.China
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摘要

关键词

automatic image annotation/semi-supervised learning/probabilistic latent seman-tic analysis ( PLSA)/transductive support vector machine ( TSVM)/image segmentation/image re-trieval

Key words

automatic image annotation/semi-supervised learning/probabilistic latent seman-tic analysis ( PLSA)/transductive support vector machine ( TSVM)/image segmentation/image re-trieval

引用本文复制引用

Tian Dongping..Semi-supervised learning based probabilistic latent semantic analysis for automatic image annotation[J].高技术通讯（英文版）,2017,23(4):367-374,8.

基金项目

Supported by the National Program on Key Basic Research Project (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 Re-search Project of Baoji University of Arts and Sciences ( No.ZK16047) . （No.2013CB329502）

高技术通讯（英文版）

ISSN：1006-6748

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