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dc.contributor.authorChen, Ruey-Cheng
dc.contributor.authorCheng, Pu-Jen
dc.date.accessioned2009-08-23T04:42:38Z
dc.date.accessioned2020-05-25T06:53:17Z-
dc.date.available2009-08-23T04:42:38Z
dc.date.available2020-05-25T06:53:17Z-
dc.date.issued2007-01-26T02:46:23Z
dc.date.submitted2006-12-04
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/3515-
dc.description.abstractIt is difficult for users to browse the images retrieved from conventional Web search engines. The paper presents an approach that organizes the retrieved images with auto-generated relevant concepts to users’ queries. The proposed approach is a well-integrated set of techniques, including relevant concept finding, query clustering, and query classification. The experimental results show that the performance of Web image retrieval can be effectively improved with the proposed approach.
dc.description.sponsorship元智大學,中壢市
dc.format.extent6p.
dc.format.extent3826158 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2006 ICS會議
dc.subject.otherData Representation and Queries for Internet Applications
dc.titleDiscovering Relevant Concepts for Web Image Search
分類:2006年 ICS 國際計算機會議

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