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  A Fast Implementation of Near Neighbors Queries for Fréchet Distance (GIS Cup)

Baldus, J., & Bringmann, K. (2018). A Fast Implementation of Near Neighbors Queries for Fréchet Distance (GIS Cup). Retrieved from http://arxiv.org/abs/1803.00806.

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Latex : A Fast Implementation of Near Neighbors Queries for {F}réchet Distance ({GIS Cup})

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arXiv:1803.00806.pdf (Preprint), 157KB
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arXiv:1803.00806.pdf
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File downloaded from arXiv at 2018-05-03 09:54 ACM SIGSPATIAL'17 invited paper. 9 pages
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 Creators:
Baldus, Julian1, Author
Bringmann, Karl2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Free keywords: Computer Science, Computational Geometry, cs.CG
 Abstract: This paper describes an implementation of fast near-neighbours queries (also known as range searching) with respect to the Fr\'echet distance. The algorithm is designed to be efficient on practical data such as GPS trajectories. Our approach is to use a quadtree data structure to enumerate all curves in the database that have similar start and endpoints as the query curve. On these curves we run positive and negative filters to narrow the set of potential results. Only for those trajectories where these heuristics fail, we compute the Fr\'echet distance exactly, by running a novel recursive variant of the classic free-space diagram algorithm. Our implementation won the ACM SIGSPATIAL GIS Cup 2017.

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Language(s): eng - English
 Dates: 2018-03-022018
 Publication Status: Published online
 Pages: 9 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1803.00806
URI: http://arxiv.org/abs/1803.00806
BibTex Citekey: Baldus_arXiv1803.00806
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