Towards a unified deep model for trajectory analysis-Reference-Cited by-同舟云学术

Towards a unified deep model for trajectory analysis

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th International Conference on Advances in Geographic Information Systems
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Author:

Musleh Mashaal¹

Affiliation:

1. University of Minnesota

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3557915.3565529

Reference10 articles.

1. ACM SIGSPATIAL CUP 2017 . http://sigspatial 2017 .sigspatial.org/giscup2017. ACM SIGSPATIAL CUP 2017. http://sigspatial2017.sigspatial.org/giscup2017.

2. I. Brodsky. H3: Uber's Hexagonal Hierarchical Spatial Index. https://eng.uber.com/h3/. I. Brodsky. H3: Uber's Hexagonal Hierarchical Spatial Index. https://eng.uber.com/h3/.

3. J. Devlin , M. Chang , K. Lee , and K. Toutanova . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR, abs/1810.04805 , 2018 . J. Devlin, M. Chang, K. Lee, and K. Toutanova. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR, abs/1810.04805, 2018.

4. Knowledge-based trajectory completion from sparse GPS samples

5. Let's speak trajectories

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