A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise - researchr publication authors

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Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous. A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. In Sanjay Chawla Venkatasubramanian, Wagner Meira Jr., editors, Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016. pages 162-170, SIAM, 2016. [doi]

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