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Volumn , Issue , 2005, Pages 150-158

Fast construction of nets in low dimensional metrics, and their applications

Author keywords

Approximate distance oracle; Approximate nearest neighbor search; Compact representation scheme; Doubling metrics; Spanners; Well separated pair decomposition

Indexed keywords

APPROXIMATE DISTANCE ORACLE; APPROXIMATE NEAREST NEIGHBOR SEARCH; COMPACT REPRESENTATION SCHEME; DOUBLING METRICS; SPANNERS; WELL SEPARATED PAIR DECOMPOSITION;

EID: 33244493557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1064092.1064117     Document Type: Conference Paper
Times cited : (57)

References (23)
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    • Callahan, P.B.1    Kosaraju, S.R.2
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    • Nearest neighbor queries in metric spaces
    • K. L. Clarkson. Nearest neighbor queries in metric spaces. Discrete Comput. Geom., 22(1):63-93, 1999.
    • (1999) Discrete Comput. Geom. , vol.22 , Issue.1 , pp. 63-93
    • Clarkson, K.L.1
  • 8
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    • Clustering to minimize the maximum intercluster distance
    • T. Gonzalez. Clustering to minimize the maximum intercluster distance. Theoret. Comput. Sci., 38:293-306, 1985.
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    • Gonzalez, T.1
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    • Clustering motion
    • S. Har-Peled. Clustering motion. Discrete Comput. Geom., 31(4):545-565, 2004.
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    • Har-Peled, S.1
  • 17
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    • Finding nearest neighbors in growth-restricted metrics
    • ACM Press
    • D. R. Karger and M. Ruhl. Finding nearest neighbors in growth-restricted metrics. In Proc. 34th Annu. ACM Sympos. Theory Comput., pages 741-750. ACM Press, 2002.
    • (2002) Proc. 34th Annu. ACM Sympos. Theory Comput. , pp. 741-750
    • Karger, D.R.1    Ruhl, M.2
  • 21
    • 4544336800 scopus 로고    scopus 로고
    • Bypassing the embedding: Algorithms for low dimensional metrics
    • ACM Press
    • K. Talwar. Bypassing the embedding: algorithms for low dimensional metrics. In Proc. 36th Annu. ACM Sympos. Theory Comput., pages 281-290. ACM Press, 2004.
    • (2004) Proc. 36th Annu. ACM Sympos. Theory Comput. , pp. 281-290
    • Talwar, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.