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Fusing PLSA model and Markov random fields for automatic image annotation

Tian Dongping Zhao Xiaofei Shi Zhongzhi

高技术通讯（英文版）2014，Vol.20Issue(4)：409-414,6.

高技术通讯（英文版）2014，Vol.20Issue(4)：409-414,6.DOI:10.3772/j.issn.1006-6748.2014.04.011

Fusing PLSA model and Markov random fields for automatic image annotation

Tian Dongping ¹Zhao Xiaofei ²Shi Zhongzhi³

作者信息

1. Institute of Computer Software, Baoji University of Arts and Sciences, Baoji 721007, P.R.China
2. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,Chinese Academy of Sciences, Beijing 100190, P.R.China
3. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,Chinese Academy of Sciences, Beijing 100190, P.R.China
折叠

摘要

关键词

automatic image annotation/probabilistic latent semantic analysis (PLSA)/expectation maximization/Markov random fields (MRF)/image retrieval

Key words

automatic image annotation/probabilistic latent semantic analysis (PLSA)/expectation maximization/Markov random fields (MRF)/image retrieval

引用本文复制引用

Tian Dongping,Zhao Xiaofei,Shi Zhongzhi..Fusing PLSA model and Markov random fields for automatic image annotation[J].高技术通讯（英文版）,2014,20(4):409-414,6.

基金项目

Supported by the National Basic Research Priorities Program (No.2013CB329502),the National High-tech R&D Program of China (No.2012AA011003),National Natural Science Foundation of China (No.61035003,61072085,60933004,60903141) and the National Science and Technology Support Program of China (No.2012BA107B02). （No.2013CB329502）

高技术通讯（英文版）

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ISSN：1006-6748

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