Anomaly detection in vessel track data
<p>This thesis introduces novelty detection techniques that use a combination of Gaussian processes, extreme value theory and divergence measurement to identify anomalous behaviour in both streaming and batch marine data. The work is set in context by a review of current methodologies, identif...
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| Format: | Thesis |
| Language: | English |
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2014
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