M2 D-VAE:在缺失值干扰下,对未经监督的工业操作应用程序进行自我监督的概率的时空空间隐藏表示学习

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Updated: Jun 9, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

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Qingyang Dai, Chunhui Zhao, Biao Huang

    IEEE transactions on neural networks and learning systems
    |October 23, 2024
    PubMed
    概括

    本研究引入了一种新的自我监督学习模型,从工业数据中提取缺失值的时空隐藏变量. 这种方法增强了工业操作应用,如数据归算和过程监控.

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