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cs.LG2024★ 2 cited
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
Yueyang Liu, Lance Kennedy, Hossein Amiri +1
Human trajectory anomaly detection has become increasingly important across a wide range of applications, including security surveillance and public health. However, existing traje…
cs.LG2024
Kinematic Detection of Anomalies in Human Trajectory Data
Lance Kennedy, Andreas Züfle
Historically, much of the research in understanding, modeling, and mining human trajectory data has focused on where an individual stays. Thus, the focus of existing research has b…