SVM-based active feedback in image retrieval using clustering and unlabeled data-Reference-Cited by-同舟云学术

SVM-based active feedback in image retrieval using clustering and unlabeled data

Published:2008-08 Issue:8 Volume:41 Page:2645-2655
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Liu Rujie,Wang Yuehong,Baba Takayuki,Masumoto Daiki,Nagata Shigemi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference24 articles.

1. Relevance feedback in image retrieval: a comprehensive review;Zhou;Multimedia Systems,2003

2. Content-based image retrieval at the end of the early years;Smeulders;IEEE Trans. Pattern Anal. Mach. Intell.,2000

3. Relevance feedback: a power tool for interactive content-based image retrieval;Rui;IEEE Trans. Circuits Video Technol.,1998

4. Bayesian relevance feedback for content-based image retrieval;Giacinto;Pattern Recognition,2004

5. Y. Wu, A. Zhang, A feature re-weighting approach for relevance feedback in image retrieval, in: Proceedings of the International Conference on Image Processing, 2002, pp. 581–584.

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