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Approximate nearest neighbor algorithms for Frechet distance via product metrics
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Source Annual Symposium on Computational Geometry archive
Proceedings of the eighteenth annual symposium on Computational geometry table of contents
Barcelona, Spain
Pages: 102 - 106  
Year of Publication: 2002
ISBN:1-58113-504-1
Author
Piotr Indyk  MIT
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 27,   Citation Count: 5
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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P.K. Agarwal, A. Gionis, L. Guibas, and R. Motwani. Rank-based similarity searching. Manuscript, 1998.
 
2
H. Alt and M. Godau. Computing the frechet distance between two polygonal curves. International Journal of Computational Geometry and Applications, 5:75--91, 1995.
 
3
H. Alt and L. J. Guibas. Discrete geometric shapes: Matching, interpolation, and approximation. In J.-R. Sack and J. Urrutia, editors, Handbook on Computational Geometry, pages 121--153. North-Holland, 2000. To appear.
 
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S. Muthukrishnan and C. Sahinalp. Approximate sequence nearest neighbors. Proceedings of the Symposium on Theory of Computing, 2000.