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Volumn 1, Issue , 2003, Pages 281-288

Object recognition with informative features and linear classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS;

EID: 0345414114     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iccv.2003.1238356     Document Type: Conference Paper
Times cited : (208)

References (24)
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    • Agarwal, S.1    Roth, D.2
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    • 0033208584 scopus 로고    scopus 로고
    • A computational model for visual selection
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    • Viewpoint invariant face recognition using independent component analysis and attractor networks
    • The MIT Press
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    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 817
    • Bartlett, M.S.1    Sejnowski, T.J.2
  • 4
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C.J.C. Burgess. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burgess, C.J.C.1
  • 5
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • May
    • C.K. Chow and C.N. Liu, Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, IT14(3):462-467, May 1968.
    • (1968) IEEE Transactions on Information Theory , vol.IT14 , Issue.3 , pp. 462-467
    • Chow, C.K.1    Liu, C.N.2
  • 6
    • 84889281816 scopus 로고
    • Wiley Series in Telecommunications. John Wiley and Sons, New-York, NY, USA
    • T.M. Cover and J. Thomas. Elements of Information Theory. Wiley Series in Telecommunications. John Wiley and Sons, New-York, NY, USA, 1991.
    • (1991) Elements of Information Theory
    • Cover, T.M.1    Thomas, J.2
  • 10
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littlestone. Learning quickly when irrelevant attributes abound: a new linear-threshold algorithm. Machine Learning, 2, 1988.
    • (1988) Machine Learning , vol.2
    • Littlestone, N.1
  • 11
    • 0031570069 scopus 로고    scopus 로고
    • Seemore: Combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition
    • B. Mel. Seemore: Combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition. Neural Computation, 9: 777-804, 1997.
    • (1997) Neural Computation , vol.9 , pp. 777-804
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  • 13
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    • Example-based object detection in images by components
    • A. Mohan, C. Papageorgiou, and T. Poggio. Example-based object detection in images by components. IEEE Trans. PAMI, 23, 4, 2001.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.