Change Point Detection via Synthetic Signals

Author:

Huang Ting-Ji,Zhou Qi-Le,Ye Han-Jia,Zhan De-Chuan

Publisher

Springer Nature Switzerland

Reference24 articles.

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3. Piotr, F.: Wild binary segmentation for multiple change-point detection. Ann. Stat. 42(6), 2243–2281 (2014)

4. Shaghayegh, G., Yifei, D., Michael, Y.C.-C., Kaveh, K., Liudmila, U., Eamonn, K.: Matrix profile viii: domain agnostic online semantic segmentation at superhuman performance levels. In: IEEE International Conference on Data Mining, pp. 117–126 (2017)

5. Amin, S., Yongli, R., Salim, F.D.: Information gain-based metric for recognizing transitions in human activities. Pervas. Mob. Comput. 38, 92–109 (2017)

Cited by 2 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. Automatic change-point detection in time series via deep learning;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-01-11

2. Human Activity Segmentation Challenge @ ECML/PKDD’23;Advanced Analytics and Learning on Temporal Data;2023

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