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ORCID1st GeoAI@SIGSPATIAL 2017: Redondo Beach, CA, USA
- Huina Mao, Yingjie Hu, Bandana Kar, Song Gao, Grant McKenzie:
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2017, Redondo Beach, CA, USA, November 7-10, 2017. ACM 2017, ISBN 978-1-4503-5498-1 - Vaibhav Kulkarni, Benoît Garbinato:
Generating synthetic mobility traffic using RNNs. 1-4 - Stephen Law
, Yao Shen, Chanuki Seresinhe:
An application of convolutional neural network in street image classification: the case study of london. 5-9 - James Murphy, Yuanyuan Pao, Asif Haque:
Image-based classification of GPS noise level using convolutional neural networks for accurate distance estimation. 10-13 - Qing Li, Jiasong Zhu, Tao Liu, Jon Garibaldi, Qingquan Li, Guoping Qiu:
Visual landmark sequence-based indoor localization. 14-23 - Ivan Majic, Stephan Winter, Martin Tomko:
Finding equivalent keys in openstreetmap: semantic similarity computation based on extensional definitions. 24-32 - Wenwen Li, Bin Zhou, Chia-Yu Hsu, Yixing Li, Fengbo Ren:
Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection. 33-36 - Charles B. Collins, John M. Beck, Susan M. Bridges, John A. Rushing, Sara J. Graves:
Deep learning for multisensor image resolution enhancement. 37-44 - Weiwei Duan, Yao-Yi Chiang, Craig A. Knoblock, Vinil Jain, Dan Feldman, Johannes H. Uhl, Stefan Leyk:
Automatic alignment of geographic features in contemporary vector data and historical maps. 45-54
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