Anomaly Detection Based on Disentangled Representation Learning
In the era of Internet of Things (IoT) and big data, collecting, processing and analyzing enormous data faces unprecedented challenges even when being stored in preprocessed form. Anomaly detection, statistically viewed as identifying outliers having low probabilities from the modelling of data dist...
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| Format: | Others |
| Language: | en |
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Université d'Ottawa / University of Ottawa
2020
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| Online Access: | http://hdl.handle.net/10393/40401 http://dx.doi.org/10.20381/ruor-24634 |