Detecting suspects by large-scale trajectory patterns in the city

HIGHLIGHTS

• who: Cang-Hong Jin and colleagues from the School of Computer and Computing Science, Zhejiang University City College, Hangzhou, China have published the Article: Detecting Suspects by Large-Scale Trajectory Patterns in the City, in the Journal: Mobile Information Systems of 10/07/2019
• what: The end-to-end neural network-based model aims to avoid picking human features. The authors design the trajectory pattern model to present individuals' behaviors and extract some effective features for classification and anomaly detection methods. (iii) Using the cleaned data, the authors introduce an end-toend deep learning model . . .
  

   

  

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