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The Scientific World Journal
Volume 2014, Article ID 827586, 6 pages
Research Article

An Active Learning Approach with Uncertainty, Representativeness, and Diversity

1School of Computer Science and Technology, Soochow University, Suzhou 215006, China
2State Key Lab. for Novel Software Technology, Nanjing University, Nanjing 210093, China
3Suzhou Vocational University, Suzhou 215104, China

Received 30 May 2014; Accepted 10 July 2014; Published 11 August 2014

Academic Editor: Juncheng Jia

Copyright © 2014 Tianxu He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Yeseul Kim, No-Wook Park, and Kyung-Do Lee, “Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps,” Remote Sensing, vol. 9, no. 9, pp. 921, 2017. View at Publisher · View at Google Scholar
  • Meng-Han Hu, Yu Zhao, and Guang-Tao Zhai, “Active learning algorithm can establish classifier of blueberry damage with very small training dataset using hyperspectral transmittance data,” Chemometrics and Intelligent Laboratory Systems, 2017. View at Publisher · View at Google Scholar