Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...
08/02/2024 If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...
Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
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