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Volumn , Issue , 2010, Pages 202-211

An algorithmic framework for segmenting trajectories based on spatio-temporal criteria

Author keywords

Geometric algorithms; Trajectory segmentation

Indexed keywords

ALGORITHMIC FRAMEWORK; GEOMETRIC ALGORITHM; SPATIO-TEMPORAL; TRAJECTORY SEGMENTATION;

EID: 78650592824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1869790.1869821     Document Type: Conference Paper
Times cited : (63)

References (16)
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  • 3
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    • K. Clarkson, K. Mehlhorn, and R. Seidel. Four results on randomized incremental constructions. Comput. Geom., 3:185-212, 1993.
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    • Clarkson, K.1    Mehlhorn, K.2    Seidel, R.3
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    • Randomized incremental construction of delaunay and voronoi diagrams
    • L. Guibas, D. Knuth, and M. Sharir. Randomized incremental construction of Delaunay and Voronoi diagrams. Algorithmica, 7(4):381-413, 1992.
    • (1992) Algorithmica , vol.7 , Issue.4 , pp. 381-413
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    • Off-line maintenance of planar configurations
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    • Hershberger, J.1    Suri, S.2
  • 9
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    • Curvature and torsion estimators based on parametric curve fitting
    • T. Lewiner, J. Gomes Jr., H. Lopes, and M. Craizer. Curvature and torsion estimators based on parametric curve fitting. Computers & Graphics, 29:641-655, 2005.
    • (2005) Computers & Graphics , vol.29 , pp. 641-655
    • Lewiner, T.1    Gomes Jr., J.2    Lopes, H.3    Craizer, M.4
  • 12
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    • An introduction to the hydraulic and topographic sinuosity indexes
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    • Mueller, J.1
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    • Measurement, characterization and classification for automated line feature generalization
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    • Plazanet, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.