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Volumn , Issue , 2015, Pages 535-540

Multi-label CNN based pedestrian attribute learning for soft biometrics

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; CLASSIFICATION (OF INFORMATION); CONVOLUTION; COST FUNCTIONS; IMAGE ENHANCEMENT; SUPPORT VECTOR MACHINES;

EID: 84943225171     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICB.2015.7139070     Document Type: Conference Paper
Times cited : (145)

References (37)
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    • Hirzer, M.1    Roth, P.M.2    Köstinger, M.3    Bischof, H.4
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    • Soft biometric traits for personal recognition systems
    • Springer
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    • (2004) Biometric Authentication , pp. 731-738
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    • Person re-identification by attributes
    • R. Layne, T. M. Hospedales, S. Gong, et al. Person re-identification by attributes. In BMVC, volume 2, page 3, 2012.
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    • Layne, R.1    Hospedales, T.M.2    Gong, S.3
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    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
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    • Person re-identification: What features are important? In Computer Vision-ECCV 2012
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    • C. Liu, S. Gong, C. C. Loy, and X. Lin. Person re-identification: what features are important? In Computer Vision-ECCV 2012. Workshops and Demonstrations, pages 391-401. Springer, 2012.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.