Robust Data-Driven Automation Based on Relaxed Supervised Hashing With Self-Optimized Labels

Recently, the Visual Internet of Things (VIoT) has been widely used in data-driven automation, where VIoT devices are used to monitor environmental dynamics and to trigger corresponding actuators after examining event signatures (e.g., hashes). Nonetheless, VIoT devices may collect partially observe...

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Vydáno v:	IEEE transactions on automation science and engineering Ročník 21; číslo 1; s. 512 - 527
Hlavní autoři:	Chen, Bo-Wei, Huang, Jhao-Yang, Wu, Ying-Hsuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Actuators Automation Codes Complexity theory half quadratic optimization incomplete data Internet of Things Labels Learning Loss measurement Modelling Occlusion Outliers (statistics) partially observed data Quadratic programming relaxation Relaxation methods relaxed robust supervised hashing Robust data-driven automation Robustness Signatures Slack variables Supervised learning Visual Internet of Things Visualization
ISSN:	1545-5955, 1558-3783
On-line přístup:	Získat plný text
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