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Volumn , Issue , 2011, Pages 1537-1544

A generalized probabilistic framework for compact codebook creation

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTION FUNCTIONS; MERGING; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS;

EID: 80052875474     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995628     Document Type: Conference Paper
Times cited : (9)

References (24)
  • 2
    • 0141607824 scopus 로고    scopus 로고
    • Latent dirichlet allocation
    • D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. JMLR 2003, 3:993-1022, 2003.
    • (2003) JMLR 2003 , vol.3 , pp. 993-1022
    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 7
    • 33745934686 scopus 로고    scopus 로고
    • Creating efficient codebooks for visual recognition
    • Washington, DC, USA, IEEE Computer Society
    • F. Jurie and B. Triggs. Creating efficient codebooks for visual recognition. In ICCV 2005 Volume 1, Washington, DC, USA, 2005. IEEE Computer Society.
    • (2005) ICCV 2005 , vol.1
    • Jurie, F.1    Triggs, B.2
  • 8
    • 51949083365 scopus 로고    scopus 로고
    • Learning realistic human actions from movies
    • June
    • I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, pages 1-8, June 2008.
    • (2008) CVPR , pp. 1-8
    • Laptev, I.1    Marszalek, M.2    Schmid, C.3    Rozenfeld, B.4
  • 9
    • 67349266616 scopus 로고    scopus 로고
    • Supervised learning of quantizer codebooks by information loss minimization
    • S. Lazebnik and M. Raginsky. Supervised learning of quantizer codebooks by information loss minimization. IEEE TPAMI, 31:1294-1309, 2009.
    • (2009) IEEE TPAMI , vol.31 , pp. 1294-1309
    • Lazebnik, S.1    Raginsky, M.2
  • 10
    • 51949085157 scopus 로고    scopus 로고
    • Learning human actions via information maximization
    • J. Liu and M. Shah. Learning human actions via information maximization. In CVPR, 2008.
    • (2008) CVPR
    • Liu, J.1    Shah, M.2
  • 11
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. G. Lowe. Object recognition from local scale-invariant features. In ICCV 1999, pages 1150-1157, 1999.
    • (1999) ICCV 1999 , pp. 1150-1157
    • Lowe, D.G.1
  • 12
    • 9644260534 scopus 로고    scopus 로고
    • Scale & affine invariant interest point detectors
    • K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. IJCV 2004, 60(1):63-86, 2004.
    • (2004) IJCV 2004 , vol.60 , Issue.1 , pp. 63-86
    • Mikolajczyk, K.1    Schmid, C.2
  • 14
    • 84864059224 scopus 로고    scopus 로고
    • Fast discriminative visual codebooks using randomized clustering forests
    • B. Schölkopf, J. Platt, and T. Hoffman, editors, MIT Press, Cambridge, MA
    • F. Moosmann, B. Triggs, and F. Jurie. Fast discriminative visual codebooks using randomized clustering forests. In B. Schölkopf, J. Platt, and T. Hoffman, editors, NIPS 2007, pages 985-992. MIT Press, Cambridge, MA, 2007.
    • (2007) NIPS 2007 , pp. 985-992
    • Moosmann, F.1    Triggs, B.2    Jurie, F.3
  • 15
    • 31544472083 scopus 로고    scopus 로고
    • Generic object recognition with boosting
    • A. Opelt, A. Pinz, M. Fussenegger, and P. Auer. Generic object recognition with boosting. PAMI, 28:2006, 2004.
    • (2004) PAMI , vol.28 , pp. 2006
    • Opelt, A.1    Pinz, A.2    Fussenegger, M.3    Auer, P.4
  • 16
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local svm approach
    • C. Schüldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. ICPR 2004, 3:32-36, 2004.
    • (2004) ICPR 2004 , vol.3 , pp. 32-36
    • Schüldt, C.1    Laptev, I.2    Caputo, B.3
  • 17
    • 49449103684 scopus 로고    scopus 로고
    • Supervised dimensionality reduction via sequential semidefinite programming
    • December
    • C. Shen, H. Li, and M. J. Brooks. Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognition, 41(12):3644-3652, December 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.12 , pp. 3644-3652
    • Shen, C.1    Li, H.2    Brooks, M.J.3
  • 18
    • 0345414182 scopus 로고    scopus 로고
    • Video Google: A text retrieval approach to object matching in videos
    • OCT
    • J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In CVPR, volume 2, pages 1470-1477, OCT 2003.
    • (2003) CVPR , vol.2 , pp. 1470-1477
    • Sivic, J.1    Zisserman, A.2
  • 19
    • 84899004693 scopus 로고    scopus 로고
    • Agglomerative information bottleneck
    • N. Slonim and N. Tishby. Agglomerative information bottleneck. In NIPS, pages 617-623, 1999.
    • (1999) NIPS , pp. 617-623
    • Slonim, N.1    Tishby, N.2
  • 21
    • 84898890371 scopus 로고    scopus 로고
    • Evaluation of local spatio-temporal features for action recognition
    • sep
    • H. Wang, M. M. Ullah, A. Kläser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In BMVC 2009, page 127, sep 2009.
    • (2009) BMVC 2009 , pp. 127
    • Wang, H.1    Ullah, M.M.2    Kläser, A.3    Laptev, I.4    Schmid, C.5
  • 23
    • 56749102360 scopus 로고    scopus 로고
    • A fast algorithm for creating a compact and discriminative visual codebook
    • Marseille, France, October
    • L. Wang, L. Zhou, and C. Shen. A fast algorithm for creating a compact and discriminative visual codebook. In ECCV 2008, volume 4, pages 719-732, Marseille, France, October 2008.
    • (2008) ECCV 2008 , vol.4 , pp. 719-732
    • Wang, L.1    Zhou, L.2    Shen, C.3
  • 24
    • 33745913325 scopus 로고    scopus 로고
    • Object categorization by learned universal visual dictionary
    • 17-21 Oct
    • J. Winn, A. Criminisi, and T. Minka. Object categorization by learned universal visual dictionary. In ICCV2005, volume 2, pages 1800-1807, 17-21 Oct. 2005.
    • (2005) ICCV2005 , vol.2 , pp. 1800-1807
    • Winn, J.1    Criminisi, A.2    Minka, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.