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Volumn , Issue , 2013, Pages 1009-1012

Neighbourhood preserving quantisation for LSH

Author keywords

Approximate Nearest Neighbour Search; Hamming Distance; Image Retrieval; Locality Sensitive Hashing; Manhattan Distance

Indexed keywords

AFFINITY MATRIX; BIT ALLOCATION; LOCALITY SENSITIVE HASHING; MANHATTAN DISTANCE; NEAREST NEIGHBOUR; NEAREST NEIGHBOUR SEARCH; PROJECTION SCHEMES; RETRIEVAL ACCURACY;

EID: 84883067359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2484028.2484162     Document Type: Conference Paper
Times cited : (19)

References (11)
  • 4
    • 84875909174 scopus 로고    scopus 로고
    • Double-bit quantization for hashing
    • W. Kong and W.-J. Li. Double-bit quantization for hashing. In AAAI, 2012.
    • (2012) AAAI
    • Kong, W.1    Li, W.-J.2
  • 5
    • 84866613304 scopus 로고    scopus 로고
    • Manhattan hashing for large-scale image retrieval
    • W. Kong, W.-J. Li, and M. Guo. Manhattan hashing for large-scale image retrieval. In SIGIR, pages 45-54, 2012.
    • (2012) SIGIR , pp. 45-54
    • Kong, W.1    Li, W.-J.2    Guo, M.3
  • 8
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • May
    • A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. Int. J. Comput. Vision, 42(3):145-175, May 2001.
    • (2001) Int. J. Comput. Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 9
    • 79954525255 scopus 로고    scopus 로고
    • Locality-sensitive binary codes from shift-invariant kernels
    • M. Raginsky and S. Lazebnik. Locality-sensitive binary codes from shift-invariant kernels. In NIPS, pages 1509-1517, 2009.
    • (2009) NIPS , pp. 1509-1517
    • Raginsky, M.1    Lazebnik, S.2
  • 11


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.