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Computational Intelligence and Neuroscience
Volume 2016, Article ID 8343187, 16 pages
http://dx.doi.org/10.1155/2016/8343187
Research Article

A Fast Framework for Abrupt Change Detection Based on Binary Search Trees and Kolmogorov Statistic

1College of Information Science & Technology, Donghua University, Shanghai 201620, China
2Australia e-Health Research Centre, Csiro Computation Informatics, Brisbane, QLD 4060, Australia

Received 28 September 2015; Accepted 28 April 2016

Academic Editor: Hiroki Tamura

Copyright © 2016 Jin-Peng Qi 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.

How to Cite this Article

Jin-Peng Qi, Jie Qi, and Qing Zhang, “A Fast Framework for Abrupt Change Detection Based on Binary Search Trees and Kolmogorov Statistic,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 8343187, 16 pages, 2016. https://doi.org/10.1155/2016/8343187.