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Volumn II, Issue , 2005, Pages 1222-1229

Common pattern discovery using earth mover's distance and local flow maximization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR; IMAGE SEGMENTATION; ITERATIVE METHODS; PROBLEM SOLVING; SPATIAL VARIABLES CONTROL;

EID: 33745885960     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2005.58     Document Type: Conference Paper
Times cited : (39)

References (11)
  • 2
    • 1842787456 scopus 로고    scopus 로고
    • Spatial pattern discovery by learning a probabilistic parametric model from multiple attributed relational graph
    • April
    • P. Hong and T. S. Huang. Spatial pattern discovery by learning a probabilistic parametric model from multiple attributed relational graph. Discrete Applied Mathematics, 139(1-3):113-135, April 2004.
    • (2004) Discrete Applied Mathematics , vol.139 , Issue.1-3 , pp. 113-135
    • Hong, P.1    Huang, T.S.2
  • 5
    • 13444287760 scopus 로고    scopus 로고
    • A comparative study on attributed relational graph matching algorithms for perceptual 3-d shape descriptor in mpeg-7
    • D. H. Kim, D. Yun, and S. U. Lee. A comparative study on attributed relational graph matching algorithms for perceptual 3-d shape descriptor in mpeg-7. ACM Conf. on Multimedia, 2004.
    • (2004) ACM Conf. on Multimedia
    • Kim, D.H.1    Yun, D.2    Lee, S.U.3
  • 8
    • 0034313871 scopus 로고    scopus 로고
    • The earth mover's distance as a metric for image retrieval
    • November
    • Y. Rubner, C. Tomasi, and L. J. Guibas. The earth mover's distance as a metric for image retrieval. International Journal of Computer Vision, 40(2):99-121, November 2000.
    • (2000) International Journal of Computer Vision , vol.40 , Issue.2 , pp. 99-121
    • Rubner, Y.1    Tomasi, C.2    Guibas, L.J.3
  • 10
    • 1042266031 scopus 로고    scopus 로고
    • Weakly supervised learning of visual models and its application to content-based retrieval
    • January-February
    • C. Schmid. Weakly supervised learning of visual models and its application to content-based retrieval. Int. Journal of Computer Vision, 56(1-2):7-16, January-February 2004.
    • (2004) Int. Journal of Computer Vision , vol.56 , Issue.1-2 , pp. 7-16
    • Schmid, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.