A Semi-Supervised Active Learning Framework for Image Retrieval

Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled and unlabeled data effectively. This paper proposes a novel semi-supervised active learning framework comprising a fusion...

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Bibliographic Details
Main Authors: HOI, Steven, LYU, Michael R.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2005
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/2394
https://ink.library.smu.edu.sg/context/sis_research/article/3394/viewcontent/CVPR2005.pdf
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Institution: Singapore Management University
Language: English