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| dc.contributor.author | Tian Xinmei | en_US |
| dc.contributor.author | Tao Dacheng | en_US |
| dc.contributor.author | Hua Xian-Sheng | en_US |
| dc.contributor.author | Wu Xiuqing | en_US |
| dc.contributor.editor | en_US | |
| dc.date.accessioned | 2012-02-02T09:14:30Z | |
| dc.date.available | 2012-02-02T09:14:30Z | |
| dc.date.issued | 2010 | en_US |
| dc.identifier | 2011000240 | en_US |
| dc.identifier.citation | Tian Xinmei et al. 2010, 'Active Reranking for Web Image Search', IEEE-Inst Electrical Electronics Engineers Inc, vol. 19, no. 3, pp. 805-820. | en_US |
| dc.identifier.issn | 1057-7149 | en_US |
| dc.identifier.other | C1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/15091 | |
| dc.description.abstract | 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 essentia | en_US |
| dc.language | en_US | |
| dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1109/TIP.2009.2035866 | en_US |
| dc.title | Active Reranking for Web Image Search | en_US |
| dc.parent | IEEE Transactions On Image Processing | en_US |
| dc.journal.volume | 19 | en_US |
| dc.journal.number | 3 | en_US |
| dc.publocation | Piscataway | en_US |
| dc.identifier.startpage | 805 | en_US |
| dc.identifier.endpage | 820 | en_US |
| dc.cauo.name | FEIT.Faculty of Engineering & Information Technology | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 080100 | en_US |
| dc.personcode | 0000072422;111502;0000072423;0000072424 | en_US |
| dc.percentage | 000100 | en_US |
| dc.classification.name | Artificial Intelligence and Image Processing | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | en_US | |
| dc.custom | en_US | |
| dc.date.activity | en_US | |
| dc.location.activity | en_US | |
| dc.description.keywords | Active reranking; local-global discriminative (LGD) dimension reduction; structural information (SInfo) based active sample selection; web image search reranking | en_US |
| dc.staffid | University of Science and Technology, China;Microsoft Pty Ltd;University of Science and Technology, China | en_US |
