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BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval

  • Published:2006-03 Issue:3 Volume:24 Page:211-223
  • ISSN:0262-8856
  • Container-title:Image and Vision Computing
  • language:en
  • Short-container-title:Image and Vision Computing

Author:

Zhang Ruofei,Zhang Zhongfei (Mark)

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference48 articles.

1. http://images.search.yahoo.com/

2. http://www.google.com/imghp

3. Visual Information Retrieval;Bimbo,1999

4. Probability and Statistics: Theory and Applications;Blom,1989

5. Blobworld: image segmentation using expectation-maximization and its application to image querying;Carson;IEEE Transactions on PAMI,2002

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2. Info-Retrieval with Relevance Feedback using Hybrid Learning Scheme for RS Image;2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC);2019-10

3. Retrieval of 3D Trademark Based on Discrete Fourier Transform;Mobile and Wireless Technologies 2017;2017-06-17

4. SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption;Data Mining and Knowledge Discovery;2016-05-11

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