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Volumn 2, Issue , 2007, Pages 646-650

Gender recognition using adaboosted feature

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; FEATURE EXTRACTION; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; SUPPORT VECTOR MACHINES;

EID: 38049087636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.396     Document Type: Conference Paper
Times cited : (32)

References (10)
  • 1
    • 0036565806 scopus 로고    scopus 로고
    • Gender Classification with Support Vector Machines
    • May
    • B.Moghaddam and M.H.Yang. Gender Classification with Support Vector Machines. IEEE Trans. On PAMI, Vol.24, No. 5,pp.707-711,May 2002.
    • (2002) IEEE Trans. On PAMI , vol.24 , Issue.5 , pp. 707-711
    • Moghaddam, B.1    Yang, M.H.2
  • 6
    • 0004308492 scopus 로고    scopus 로고
    • Robust Real-time Object Detection
    • 20001/01, Cambridge Research- Laboratory
    • Paul Viola , Michael Jones, Robust Real-time Object Detection, Technical Report CRL 20001/01, Cambridge Research- Laboratory, 2001.
    • (2001) Technical Report CRL
    • Viola, P.1    Jones, M.2
  • 9
    • 26944441889 scopus 로고    scopus 로고
    • SMO-type Decomposition Methods for Support Vector Machines
    • Technical report, Department of Computer Science, National TaiwanUniversity
    • P. H. Chen, R. E. Fan, C.J. Lin, A Study on SMO-type Decomposition Methods for Support Vector Machines, Technical report, Department of Computer Science, National TaiwanUniversity,2005, http ://www.csie.ntu.edu.tw/∼cjlin/ papers/generalSMO.pdf.
    • (2005)
    • Chen, P.H.1    Fan, R.E.2    Lin, C.J.3    Study on, A.4
  • 10
    • 38049048784 scopus 로고    scopus 로고
    • Sung Uk Jung, Do Hyoung Kim, Kwang Ho An and Myung Jin Chung, Efficient Rectangle Feature Extraction for Real-time Facial Expression Recognition based on AdaBoost
    • Sung Uk Jung, Do Hyoung Kim, Kwang Ho An and Myung Jin Chung, Efficient Rectangle Feature Extraction for Real-time Facial Expression Recognition based on AdaBoost.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.