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Online Learning and Sequential Anomaly Detection in Trajectories
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rikard Laxhammar,Goran Falkman
Issue Date:September 2013
pp. 1
Detection of anomalous trajectories is an important problem in the surveillance domain. Various algorithms based on learning of normal trajectory patterns have been proposed for this problem. Yet, these algorithms typically suffer from one or more limitati...
 
Conformal prediction for distribution-independent anomaly detection in streaming vessel data
Found in: Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD '10)
By Goran Falkman, Rikard Laxhammar
Issue Date:July 2010
pp. 47-55
This paper presents a novel application of the theory of conformal prediction for distribution-independent on-line learning and anomaly detection. We exploit the fact that conformal predictors give valid prediction sets at specified confidence levels under...
     
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