PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis-Reference-Cited by-同舟云学术

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PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis

Published:2022-10-31 Issue:2 Volume:65 Page:162-178
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Zheng Xiaojun¹,Mak Simon¹,Xie Liyan²,Xie Yao³^ORCID

Affiliation:

1. Department of Statistical Science, Duke University, Durham, NC

2. School of Data Science, The Chinese University of Hong Kong, Shenzhen, China

3. H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Georgia Institute of Technology, Atlanta, GA

Funder

NSF

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2022.2124312

Reference50 articles.

1. Voronoi diagrams—a survey of a fundamental geometric data structure

2. 3D region segmentation using topological persistence

Cited by 1 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. Network representations of attractors for change point detection;Communications Physics;2023-11-25

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