Applying depthwise separable and multi-channel convolutional neural networks of varied kernel size on semantic trajectories
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04603-0.pdf
Reference41 articles.
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3. Ashbrook D, Starner T (2003) Using GPS to learn significant locations and predict movement across multiple users. Pers Ubiquitous Comput 7(5):275–286. https://doi.org/10.1007/s00779-003-0240-0
4. Bogorny V, Renso C, Aquino AR, Lucca Siqueira F, Alvares LO (2014) Constant—a conceptual data model for semantic trajectories of moving objects. Trans GIS 18(1):66–88
5. Cao X, Cong G, Jensen CS (2010) Mining significant semantic locations from GPS data. Proc VLDB Endow 3(1–2):1009–1020. https://doi.org/10.14778/1920841.1920968
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