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231223s2010 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2009.2035866
|2 doi
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|a pubmed24n0642.xml
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|a eng
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|a Tian, Xinmei
|e verfasserin
|4 aut
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|a Active reranking for web image search
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|c 2010
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|a Text
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 11.05.2010
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|a Date Revised 22.02.2010
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Image search reranking methods usually fail to capture the user's intention when the query term is ambiguous. Therefore, reranking with user interactions, or active reranking, is highly demanded to effectively improve the search performance. The essential problem in active reranking is how to target the user's intention. To complete this goal, this paper presents a structural information based sample selection strategy to reduce the user's labeling efforts. Furthermore, to localize the user's intention in the visual feature space, a novel local-global discriminative dimension reduction algorithm is proposed. In this algorithm, a submanifold is learned by transferring the local geometry and the discriminative information from the labelled images to the whole (global) image database. Experiments on both synthetic datasets and a real Web image search dataset demonstrate the effectiveness of the proposed active reranking scheme, including both the structural information based active sample selection strategy and the local-global discriminative dimension reduction algorithm
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Tao, Dacheng
|e verfasserin
|4 aut
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1 |
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|a Hua, Xian-Sheng
|e verfasserin
|4 aut
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700 |
1 |
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|a Wu, Xiuqing
|e verfasserin
|4 aut
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773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 19(2010), 3 vom: 19. März, Seite 805-20
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|x 1941-0042
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|g volume:19
|g year:2010
|g number:3
|g day:19
|g month:03
|g pages:805-20
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|u http://dx.doi.org/10.1109/TIP.2009.2035866
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