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Volumn , Issue , 2009, Pages 565-574

Which spatial partition trees are adaptive to intrinsic dimension?

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORESTRY; NEAREST NEIGHBOR SEARCH;

EID: 79952184354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (65)

References (10)
  • 3
    • 80053154604 scopus 로고    scopus 로고
    • Tighter bounds for random projections of manifolds
    • K. Clarkson. Tighter bounds for random projections of manifolds. Comp. Geometry, 2007.
    • (2007) Comp. Geometry
    • Clarkson, K.1
  • 9
    • 46149088412 scopus 로고    scopus 로고
    • Finding the homology of submanifolds with high confidence from random samples
    • P. Niyogi, S. Smale, and S. Weinberger. Finding the homology of submanifolds with high confidence from random samples. Disc. Computational Geometry, 2006.
    • (2006) Disc. Computational Geometry
    • Niyogi, P.1    Smale, S.2    Weinberger, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.