Click-through-based cross-view learning for image search
One of the fundamental problems in image search is to rank image documents according to a given textual query. Existing search engines highly depend on surrounding texts for ranking images, or leverage the query-image pairs annotated by human labelers to train a series of ranking functions. However,...
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Main Authors: | PAN, Yingwei, YAO, Ting, MEI, Tao, LI, Houqiang, NGO, Chong-wah, RUI, Yong |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2014
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6514 https://ink.library.smu.edu.sg/context/sis_research/article/7517/viewcontent/2600428.2609568.pdf |
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Institution: | Singapore Management University |
Language: | English |
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