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Volumn , Issue , 2010, Pages 311-318

Spatialized epitome and its applications

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHICAL MODEL; IMAGE APPEARANCE; INPUT IMAGE; LEARNING PROCEDURES; SPATIAL ARRANGEMENTS; SPATIAL DISTRIBUTION; SPATIAL INFORMATIONS; TARGET DETECTION; TRAINING SAMPLE; VARIATIONAL APPROXIMATION; VEHICLE DETECTION;

EID: 77956002825     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540196     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 1
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    • Clustering appearance and shape by learning jigsaws
    • Cambridge, MA, MIT Press
    • C. R. Anitha Kannan, JohnWinn. Clustering appearance and shape by learning jigsaws. In NIPS 19, Cambridge, MA, 2006. MIT Press.
    • (2006) NIPS , vol.19
    • Kannan, C.R.A.1    Winn, J.2
  • 4
    • 34948865767 scopus 로고    scopus 로고
    • Capturing long-range correlations with patch models
    • V. Cheung, N. Jojic, and D. Samaras. Capturing long-range correlations with patch models. In CVPR, 2007.
    • (2007) CVPR
    • Cheung, V.1    Jojic, N.2    Samaras, D.3
  • 5
    • 35148866688 scopus 로고    scopus 로고
    • Epitomic representation of human activities
    • N. Cuntoor and R. Chellappa. Epitomic representation of human activities. In CVPR, 2007.
    • (2007) CVPR
    • Cuntoor, N.1    Chellappa, R.2
  • 7
    • 0344551961 scopus 로고    scopus 로고
    • Epitomic analysis of appearance and shape
    • N. Jojic, B. Frey, and A. Kannan. Epitomic analysis of appearance and shape. In ICCV, 2003.
    • (2003) ICCV
    • Jojic, N.1    Frey, B.2    Kannan, A.3
  • 8
    • 33646801643 scopus 로고    scopus 로고
    • The audio epitome: A new representation for modeling and classifying auditory phenomena
    • A. Kapoor and S. Basu. The audio epitome: a new representation for modeling and classifying auditory phenomena. In ICASSP, 2005.
    • (2005) ICASSP
    • Kapoor, A.1    Basu, S.2
  • 10
    • 0032122727 scopus 로고    scopus 로고
    • Averaging, maximum penalized likelihood and bayesian estimation for improving gaussian mixture probability density estimates
    • D. Ormoneit and V. Tresp. Averaging, maximum penalized likelihood and bayesian estimation for improving gaussian mixture probability density estimates. T-NN, 1998.
    • (1998) T-NN
    • Ormoneit, D.1    Tresp, V.2
  • 11
    • 51949116409 scopus 로고    scopus 로고
    • Summarizing visual data using bidirectional similarity
    • D. Simakov, Y. Caspi, E. Shechtman, and M. Irani. Summarizing visual data using bidirectional similarity. In CVPR, 2008.
    • (2008) CVPR
    • Simakov, D.1    Caspi, Y.2    Shechtman, E.3    Irani, M.4
  • 12
    • 57649107324 scopus 로고    scopus 로고
    • Factoring repeating content within and among images
    • H. Wang, Y. Wexler, E. Ofek, and H. Hoppe. Factoring repeating content within and among images. In ACM SIGGRAPH, 2008.
    • (2008) ACM SIGGRAPH
    • Wang, H.1    Wexler, Y.2    Ofek, E.3    Hoppe, H.4
  • 14
    • 70450192698 scopus 로고    scopus 로고
    • Epitomized priors for multi-labeling problems
    • J. Warrell, S. Prince, and A. Moore. Epitomized priors for multi-labeling problems. In CVPR, 2009.
    • (2009) CVPR
    • Warrell, J.1    Prince, S.2    Moore, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.