Abstract: We propose an anomaly detection method that outputs the likelihood and coordinates of anomalous objects. Using general models to detect anomalous objects in videos often results in ...
Abstract: This paper introduces a fully automated, unsupervised technique for detecting step changes in synchrophasor measurements, without prior knowledge or learning data features, without applying ...
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