Learning query and image similarities with ranking canonical correlation analysis
One of the fundamental problems in image search is to learn the ranking functions, i.e., similarity between the query and image. The research on this topic has evolved through two paradigms: feature-based vector model and image ranker learning. The former relies on the image surrounding texts, while...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2015
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6519 https://ink.library.smu.edu.sg/context/sis_research/article/7522/viewcontent/Yao_Learning_Query_and_ICCV_2015_paper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |