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4. Trace Norm Generative Adversarial Networks For Sensor Generation And Feature Extraction

Trace Norm Generative Adversarial Networks For Sensor Generation And Feature Extraction

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IEEE ICASSP 2020 Virtual Conference May 2020

Generative Adversarial Networks (GANs) have been shown effective to generate realistic enough sensor data for industrial failure prediction. Compared to computer vision problems, where it is very common to have more than 1000 classes, the number of classe

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Trace Norm Generative Adversarial Networks For Sensor Generation And Feature Extraction

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Generative Adversarial Networks (GANs) have been shown effective to generate realistic enough sensor data for industrial failure prediction. Compared to computer vision problems, where it is very common to have more than 1000 classes, the number of classe