Click-through-based subspace learning for image search

One of the fundamental problems in image search is to rank image documents according to a given textual query. We address two limitations of the existing image search engines in this paper. First, there is no straightforward way of comparing textual keywords with visual image content. Image search e...

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Bibliographic Details
Main Authors: PAN, Yingwei, YAO, Ting, TIAN, Xinmei, LI, Houqiang, NGO, Chong-wah
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/6529
https://ink.library.smu.edu.sg/context/sis_research/article/7532/viewcontent/2647868.2656404.pdf
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Institution: Singapore Management University
Language: English

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