Training Neural Networks for Sequential Change-Point Detection

Author:

Lee Junghwan1,Xie Yao1,Cheng Xiuyuan2

Affiliation:

1. Georgia Institute of Technology

2. Duke University

Publisher

IEEE

Reference9 articles.

1. Adam: A method for stochastic optimization;kingma,2014

2. Kernel change-point detection with auxiliary deep generative models;chang;International Conference on Learning Representations,2018

3. Instructing people for training gestural interactive systems

4. Sequential (Quickest) Change Detection: Classical Results and New Directions

5. Automatic Solar Filament Detection Using Image Processing Techniques

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. Distribution-free image monitoring with application to battery coating process;IISE Transactions;2024-02-29

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

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