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- The result: an anomaly detection application able to process 19 billion real-time events per day and detect anomalies in those events. “Our anomaly detection solution showcases how critical applications can scale – colossally – using expertly-optimized Kafka and Cassandra in their fully open source form,” said Ben Slater, Chief Product ...
- Oct 04, 2020 · Abstract. Anomaly detection methods generally target the learning of a normal image distribution (i.e., inliers showing healthy cases) and during testing, samples relatively far from the learned distribution are classified as anomalies (i.e., outliers showing disease cases).
- Related Work Anomaly detection is the task of identifying test data not t-ting the normal data distribution seen during training. Approaches for anomaly detection exist in various domains, ranging from video analysis  to remote sensing . They typically either use an explicit representation of the distri-