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Volumn I, Issue , 2005, Pages 664-671

A discriminative framework for modelling object classes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; DATA ACQUISITION; MATHEMATICAL MODELS; OBJECT RECOGNITION;

EID: 33745181681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.25     Document Type: Conference Paper
Times cited : (54)

References (17)
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    • Schneiderman, H.1    Kanade, T.2
  • 5
    • 34948826564 scopus 로고    scopus 로고
    • Object class recognition using discriminative local features
    • (Submitted)
    • G. Dork, C. Schmid. Object class recognition using discriminative local features. IEEE PAMI (Submitted).
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    • Dork, G.1    Schmid, C.2
  • 6
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    • Viola, P.1    Jones, M.2
  • 7
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    • Kumar, S.1    Hebert, M.2
  • 9
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    • Sharing visual features for multiclass and multiview object detection
    • A. Torralba, K.P. Murphy, W.T. Freeman. Sharing visual features for multiclass and multiview object detection. In Proc. CVPR, pp. 762-769, 2004.
    • (2004) Proc. CVPR , pp. 762-769
    • Torralba, A.1    Murphy, K.P.2    Freeman, W.T.3
  • 10
    • 0344983284 scopus 로고    scopus 로고
    • A Bayesian approach to unsupervised One-shot learning of Object categories
    • L. Fei-Fei, R.Fergus, P. Perona. A Bayesian approach to unsupervised One-Shot learning of Object categories. In Proc. ICCV, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.