Anomaly Detection Techniques and Applications
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Scope of this subject
This cluster of papers focuses on the detection of anomalies in high-dimensional data, particularly in the context of video analysis, surveillance, and time series data. It covers a wide range of techniques including unsupervised learning, outlier detection, deep learning, and novelty detection for identifying abnormal patterns and events.
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Research vocabulary
unsupervised anomaly detection; video anomaly detection; time series anomaly detection; Isolation Forest; one-class support vector machine; one-class classification; anomaly localization; local outlier factor; multivariate time series anomaly detection; image anomaly detection; real-time anomaly detection; abnormal event detection; online anomaly detection; reconstruction-based anomaly detection; MVTec AD; graph anomaly detection; anomaly scoring; anomaly score; industrial anomaly detection; anomaly classification; semi-supervised anomaly detection; zero-shot anomaly detection; density-based outlier detection; distance-based outlier detection; UCF-Crime dataset
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36183006893474899 · morton4x16-v1
Coordinates: (3, 17, 1702, 11512). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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