Constrained energy variation for change point detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Link
https://link.springer.com/content/pdf/10.1007/s11045-021-00785-w.pdf
Reference56 articles.
1. Adams, R. P., & MacKay, D. J. (2007). Bayesian online changepoint detection, arXiv preprint arXiv:0710.3742
2. Aminikhanghahi, S., & Cook, D. J. (2017). A survey of methods for time series change point detection. Knowledge and information systems, 51, 339–367.
3. Belcaid, A., & Douimi, M. (2020). A novel online change point detection using an approximate random blanket and the line process energy. International Journal on Artificial Intelligence Tools, 29, 2050018.
4. Belcaid, A., Douimi, M., & Fihri, A. F. (2018). Recursive reconstruction of piecewise constant signals by minimization of an energy function. Inverse Problems & Imaging, 12, 903–920.
5. Bellman, R. (1958). On a routing problem. Quarterly of Applied Mathematics, 16, 87–90.
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