Combined Classification of Handwritten Digits Using the ‘Virtual Test Sample Method’-Reference-Cited by-同舟云学术

Combined Classification of Handwritten Digits Using the ‘Virtual Test Sample Method’

Published:2001 Issue: Volume: Page:109-118
ISSN:0302-9743
Container-title:Multiple Classifier Systems
language:
Short-container-title:

Author:

Dahmen Jörg,Keysers Daniel,Ney Hermann

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-48219-9_11

Reference16 articles.

1. Breiman, L.: Bagging Predictors. Technical Report 421, Department of Statistics, University of California at Berkeley, 1994.

2. Dahmen, J., Keysers, D., Ney, H., Güld, M.: Statistical Image Object Recognition using Mixture Densities. Journal of Mathematical Imaging and Vision, Vol. 14,No. 3, Kluwer Academic Publishers, pp. 285–296, May 2001.

3. Dempster A., Laird, N., Rubin, D.: Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, 39(B), pp. 1–38, 1977.

4. Drucker, H., Schapire, R., Simard, P.: Boosting Performance in Neural Networks. Int. Journal of Pattern Recognition and Artificial Intelligence, Vol. 7,No. 4, pp. 705–719, 1993.

5. Duda, R., Hart, P.: Pattern Classification and Scene Analysis. John Wiley & Sons, 1973.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiple Classifier Systems: Theory, Applications and Tools;Intelligent Systems Reference Library;2013

2. Fast self-generation voting for handwritten Chinese character recognition;International Journal on Document Analysis and Recognition (IJDAR);2012-10-27

3. Perturbation-enhanced feature correlation filter for robust iris recognition;IET Biometrics;2012

4. Classification and Learning Methods for Character Recognition: Advances and Remaining Problems;Machine Learning in Document Analysis and Recognition;2008

5. A Comparison of Generic Machine Learning Algorithms for Image Classification;Research and Development in Intelligent Systems XX;2004