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Volumn , Issue , 2011, Pages 93-96

Adapting gender and age recognition system for mobile platforms

Author keywords

Android platforms; Convolutional neural networks; Correspondence driven adaptation; Gender and age recognition

Indexed keywords

ANDROID PLATFORMS; APPLICATION SCENARIO; CLIENT PROGRAMS; CLIENT-SERVER SYSTEMS; CONVOLUTIONAL NEURAL NETWORK; CORRESPONDENCE DRIVEN ADAPTATION; DEGRADED PERFORMANCE; EMERGING APPLICATIONS; ESTIMATION VARIANCE; FACE IMAGES; GENDER AND AGE RECOGNITION; INTELLIGENT VIDEO; MOBILE PLATFORM; OFFLINE; PROTOTYPE SYSTEM; RECOGNITION MODELS; RECOGNITION SYSTEMS; USER EXPERIENCE;

EID: 84858266882     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVSurv.2011.6157033     Document Type: Conference Paper
Times cited : (3)

References (14)
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    • Fu, Y.1    Huang, T.S.2
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    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 12
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    • Robust real-time object detection
    • Paul Viola and Michael Jones. Robust real-time object detection. Int'l Journal of Computer Vision, 57(2):137-154, 2001.
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    • Viola, P.1    Jones, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.