Group masked autoencoder for anomaly detection

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United States of America Patent

PATENT NO 12205039
SERIAL NO

17087181

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Abstract

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A group masked autoencoder may be implemented for anomaly detection. An autoencoder network model may be trained without supervision and applied to output an estimated joint probability distribution of normality for a group of frames of time series data. The estimated joint probability distribution may be used to determine an anomaly score for the time series data. An anomaly may be detected according to the anomaly score and a result that indicates a detected anomaly may be provided.

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Patent Owner(s)

  • AMAZON TECHNOLOGIES INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cheng, Fangzhou Mountain View, US 7 9
Giri, Ritwik Sunnyvale, US 22 47
Helwani, Karim Mountain View, US 34 137
Isik, Mehmet Umut Menlo Park, US 10 20
Krishnaswamy, Arvindh Palo Alto, US 35 1119
Tenneti, Srikanth Venkata Sunnyvale, US 5 4

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