US Patent Issued to Hong Kong Applied Science and Technology Research Institute on Dec. 16 for "Anomaly detection with dynamic density estimation" (Chinese Inventors)

ALEXANDRIA, Va., Dec. 16 -- United States Patent no. 12,499,352, issued on Dec. 16, was assigned to Hong Kong Applied Science and Technology Research Institute Co. Ltd. (Hong Kong).

"Anomaly detection with dynamic density estimation" was invented by Peiqin Li (Hong Kong) and Jiayu Shu (Wuxi, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "In detecting anomaly in samples, convolutional neural network (CNN) and machine-learning classifier modelled with support vectors are used. The CNN and classifier are initially trained with normal samples, and incrementally trained in retraining sessions each with self-generated anomalous samples identified in inference preceding a retraining session under consideratio...