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A low-dimensional feature vector representation for alignment-free spatial trajectory analysis.

, и . MobiGIS, стр. 19-26. ACM, (2016)

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Peter Kiermeier

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Friedrich Kiermeier

 

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A low-dimensional feature vector representation for alignment-free spatial trajectory analysis., и . MobiGIS, стр. 19-26. ACM, (2016)Similarity Search for Spatial Trajectories Using Online Lower Bounding DTW and Presorting Strategies., и . TIME, том 90 из LIPIcs, стр. 18:1-18:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling., , , , , и . AAAI, стр. 7941-7948. AAAI Press, (2019)Laufzeitüberwachung in selbst-organisierenden Industriesystemen.. Ludwig Maximilian University of Munich, Germany, (2019)Online Reverse Subpattern Matching for Reproducing Trajectories from Sub-paths.. ICCSA (6), том 10409 из Lecture Notes in Computer Science, стр. 635-646. Springer, (2017)A Simulation-Based Architecture for Smart Cyber-Physical Systems., , , , и . ICAC, стр. 374-379. IEEE Computer Society, (2016)Scenario co-evolution for reinforcement learning on a grid world smart factory domain., , , , , , , , , и 1 other автор(ы). GECCO, стр. 898-906. ACM, (2019)Risk-Sensitivity in Simulation Based Online Planning., , , , , , и . KI, том 11117 из Lecture Notes in Computer Science, стр. 229-240. Springer, (2018)Visual Analytics for Root Cause Analysis in Self-Organizing Industrial Systems., и . INDIN, стр. 315-320. IEEE, (2018)Improving persistence based trajectory simplification., , и . MDM, стр. 157-162. IEEE, (2021)