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Exploiting PLSA model and conditional random field for refining image annotation

Tian Dongping

高技术通讯（英文版）2015，Vol.21Issue(1)：78-84,7.

高技术通讯（英文版）2015，Vol.21Issue(1)：78-84,7.DOI:10.3772/j.issn.1006-6748.2015.01.011

Exploiting PLSA model and conditional random field for refining 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/probabilistic latent semantic analysis (PLSA)/expectation-maximization/conditional random field(CRF)/Flickr distance/image retrieval

Key words

automatic image annotation/probabilistic latent semantic analysis (PLSA)/expectation-maximization/conditional random field(CRF)/Flickr distance/image retrieval

引用本文复制引用

Tian Dongping..Exploiting PLSA model and conditional random field for refining image annotation[J].高技术通讯（英文版）,2015,21(1):78-84,7.

基金项目

Supported by the National Basic Research Priorities Programme (No.2013CB329502),the National High Technology Research and Development Programme of China (No.2012AA011003),the Natural Science Basic Research Plan in Shanxi Province of China (No.2014JQ2-6036)and the Science and Technology R&D Program of Baoji City (No.203020013,2013R2-2). （No.2013CB329502）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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