Batch Mode Active Learning for Interactive Image Retrieval

In content-based image retrieval, relevance feedback is an effective approach to narrow the semantic gap between low-level feature and high-level semantic interpretation by using user's feedback to judge the relevance images in the retrieval process. One important issue of RF-algorithms is how...

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Bibliographic Details

Published in:	2014 IEEE International Symposium on Multimedia pp. 28 - 31
Main Authors:	Giang, Ngo Truong, Tao, Ngo Quoc, Dung, Nguyen Duc, The, Nguyen Trong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2014
Subjects:	active learning content-based image retrieval Feature extraction Image color analysis Image retrieval Kernel Radio frequency relevance feedback support vector machine Support vector machines
Online Access:	Get full text
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