Automatic alignment of geographic features in contemporary vector data and historical maps. Duan, W., Chiang, Y., Knoblock, C. A, Jain, V., Feldman, D., Uhl, J. H, & Leyk, S. In Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, of GeoAI '17, pages 45–54, New York, NY, USA, November, 2017. Association for Computing Machinery.
Paper
-file doi bibtex 1 download @inproceedings{Duan2017-de,
address = {New York, NY, USA},
author = {Duan, Weiwei and Chiang, Yao-Yi and Knoblock, Craig A and Jain,
Vinil and Feldman, Dan and Uhl, Johannes H and Leyk, Stefan},
booktitle = {{Proceedings of the 1st Workshop on Artificial Intelligence and
Deep Learning for Geographic Knowledge Discovery}},
doi = {10.1145/3149808.3149816},
isbn = {9781450354981},
location = {Los Angeles, California},
month = {November},
pages = {45--54},
publisher = {Association for Computing Machinery},
series = {GeoAI '17},
title = {{Automatic alignment of geographic features in contemporary
vector data and historical maps}},
url = {https://doi.org/10.1145/3149808.3149816},
url-file = {papers/Duan-et-al.-2017-Automatic-alignment-of-geographic-features-in-contemporary-vector-data-and-historical-maps.pdf},
year = {2017}
}
Downloads: 1
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