Adaptive sampling

A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling
This article proposes a Bayesian learning framework for online change detection of high-dimensional data streams where only a subset of …
Jie Guo, Hao Yan, Chen Zhang
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Adaptive Partially Observed Sequential Change Detection and Isolation
High-dimensional data has become popular due to the easy accessibility of sensors in modern industrial applications. However, one …
Xinyu Zhao, Jiuyun Hu, Yajun Mei, Hao Yan1
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AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
In point-based sensing systems such as coordinate measuring machines and laser ultrasonics where complete sensing is impractical due to …
Hao Yan, Kamran Paynabar, Jianjun Shi
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