GESTALT: Geospatially Enhanced Search with Terrain Augmented Location Targeting-Reference-Cited by-同舟云学术

GESTALT: Geospatially Enhanced Search with Terrain Augmented Location Targeting

Published:2023-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data
language:
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Author:

O'Sullivan Kent¹^ORCID,Schneider Nicole R.¹^ORCID,Rasheed Aleeza²^ORCID,Samet Hanan¹^ORCID

Affiliation:

1. University of Maryland, College Park, Maryland, USA

2. National Cathedral School, Washington, District of Columbia, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3615890.3628535

Reference19 articles.

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3. Ester M. , H. -P. Kriegel , J. Sander , and X. Xu . 1996. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise . In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining ( Portland, Oregon) (KDD'96). AAAI Press, 226--231. Ester M., H.-P. Kriegel, J. Sander, and X. Xu. 1996. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (Portland, Oregon) (KDD'96). AAAI Press, 226--231.

4. Processing pictorial queries with multiple instances using isomorphic subgraphs

5. Haklay M. and P. Weber . 2008 . Openstreetmap: User-generated street maps . IEEE Pervasive computing 7, 4 (2008), 12--18. Haklay M. and P. Weber. 2008. Openstreetmap: User-generated street maps. IEEE Pervasive computing 7, 4 (2008), 12--18.