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Volumn , Issue , 2001, Pages

Sex with support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

RADIAL BASIS FUNCTION NETWORKS;

EID: 2242485667     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (20)
  • 4
    • 0027352107 scopus 로고
    • What's the difference between men and women? Evidence from facial measurement
    • A. M. Burton, V. Bruce, and N. Dench. What's the difference between men and women? evidence from facial measurement. Perception, 22:153-176, 1993.
    • (1993) Perception , vol.22 , pp. 153-176
    • Burton, A.M.1    Bruce, V.2    Dench, N.3
  • 8
    • 0001203164 scopus 로고    scopus 로고
    • Sex classification of face areas: How well can a linear neural network predict human performance
    • B. Edelman, D. Valentin, and H. Abdi. Sex classification of face areas: how well can a linear neural network predict human performance. Journal of Biological System, 6(3):241-264, 1998.
    • (1998) Journal of Biological System , vol.6 , Issue.3 , pp. 241-264
    • Edelman, B.1    Valentin, D.2    Abdi, H.3
  • 9
    • 0003798631 scopus 로고    scopus 로고
    • A unified framework for regularization networks and support vector machines
    • MIT
    • Theodoros Evgeniou, Massimiliano Pontil, and Tomaso Poggio. A unified framework for regularization networks and support vector machines. Technical Report AI Memo No. 1654, MIT, 1999.
    • (1999) Technical Report AI Memo No. 1654
    • Evgeniou, T.1    Pontil, M.2    Poggio, T.3
  • 15
    • 0030632418 scopus 로고    scopus 로고
    • Sex classification is better with three-dimensional structure than with image intensity information
    • A. J. O'Toole, T. Vetter, N. F. Troje, and H. H. Bulthoff. Sex classification is better with three-dimensional structure than with image intensity information. Perception, 26:75-84, 1997.
    • (1997) Perception , vol.26 , pp. 75-84
    • O'Toole, A.J.1    Vetter, T.2    Troje, N.F.3    Bulthoff, H.H.4
  • 16
    • 84898985444 scopus 로고    scopus 로고
    • Support vector machines applied to face recognition
    • M. S. Kearns, S. Solla, and D. Cohen, editors MIT Press
    • P. J. Phillips. Support vector machines applied to face recognition. In M. S. Kearns, S. Solla, and D. Cohen, editors, Advances in Neural Information Processing Systems 11, Volume 11, pages 803-809. MIT Press, 1998.
    • (1998) Advances in Neural Information Processing Systems 11 , vol.11 , pp. 803-809
    • Phillips, P.J.1
  • 17
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • T. Poggio and F. Girosi. Networks for approximation and learning. Proceedings of the IEEE, 78(9):1481-1497, 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 18
    • 0030081133 scopus 로고    scopus 로고
    • Male/female identification from 8×6 very low resolution face images by neural network
    • S. Tamura, H. Kawai, and H. Mitsumoto. Male/female identification from 8×6 very low resolution face images by neural network. Pattern Recognition, 29(2):331-335, 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.2 , pp. 331-335
    • Tamura, S.1    Kawai, H.2    Mitsumoto, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.