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Volumn 2005, Issue , 2005, Pages 361-366

Improvement of a face detection system by evolutionary multi-objective optimization

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; GENETIC ALGORITHMS; HEURISTIC METHODS; METADATA; OPTIMIZATION; PARETO PRINCIPLE;

EID: 33846953595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIS.2005.63     Document Type: Conference Paper
Times cited : (8)

References (19)
  • 1
    • 84947926042 scopus 로고    scopus 로고
    • A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II
    • M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. Merelo, and H.-P. Schwefel, editors, Proceedings of the Parallel Problem Solving from Nature VI Conference, of, Paris, France, Springer
    • K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. Merelo, and H.-P. Schwefel, editors, Proceedings of the Parallel Problem Solving from Nature VI Conference, volume 1917 of Lecture Notes in Computer Science, pages 849-858, Paris, France, 2000. Springer.
    • (2000) Lecture Notes in Computer Science , vol.1917 , pp. 849-858
    • Deb, K.1    Agrawal, S.2    Pratap, A.3    Meyarivan, T.4
  • 2
    • 12844263684 scopus 로고    scopus 로고
    • Convolutional face finder: A neural architecture for fast and robust face detection
    • M. Delakis and C. Garcia. Convolutional face finder: A neural architecture for fast and robust face detection. IEEE Trans. Pattern Anal. Mach. Intell., 26(11):1408-1423, 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell , vol.26 , Issue.11 , pp. 1408-1423
    • Delakis, M.1    Garcia, C.2
  • 7
    • 24344498363 scopus 로고    scopus 로고
    • Fuzzy-pareto- dominance and its application in evolutionary multi-objective optimization
    • EMO 2005, Springer
    • M. Köppen, R. Vicente Garcia, and B. Nickolay. Fuzzy-pareto- dominance and its application in evolutionary multi-objective optimization. In EMO 2005, LNCS 3410, pages 399-412. Springer, 2005.
    • (2005) LNCS , vol.3410 , pp. 399-412
    • Köppen, M.1    Vicente Garcia, R.2    Nickolay, B.3
  • 8
    • 0004262910 scopus 로고    scopus 로고
    • Prentice-Hall, Upper Saddle River, NJ
    • B. Kosko. Fuzzy Engineering. Prentice-Hall, Upper Saddle River, NJ, 1997.
    • (1997) Fuzzy Engineering
    • Kosko, B.1
  • 9
    • 21944447431 scopus 로고    scopus 로고
    • Fast object detection with occlusion
    • Y. Lin, T. Liu, and C. Fuh. Fast object detection with occlusion. In Proc. ECCV 2004, 2004.
    • (2004) Proc. ECCV 2004
    • Lin, Y.1    Liu, T.2    Fuh, C.3
  • 11
    • 0030673582 scopus 로고    scopus 로고
    • Training support vector machines: An application to face detection
    • E. Osuna, R. Freund, and F. Girosi. Training support vector machines: an application to face detection. In Proceedings of CVPR'97, 1997.
    • (1997) Proceedings of CVPR'97
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 14
    • 0031648023 scopus 로고    scopus 로고
    • Example-based learning for viewed-based human face deteccion
    • K. Sung and T. Poggio. Example-based learning for viewed-based human face deteccion. IEEE Trans. Pattern Anal. Mach. Intell., 20(1):39-51, 1998.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell , vol.20 , Issue.1 , pp. 39-51
    • Sung, K.1    Poggio, T.2
  • 15
    • 84898979550 scopus 로고    scopus 로고
    • Fast and robust classification using asymmetric adaboost and a detector cascade
    • MIT Press
    • P. Viola and M. Jones. Fast and robust classification using asymmetric adaboost and a detector cascade. In Advances in Neural Information Processing System 14. MIT Press, 2002.
    • (2002) Advances in Neural Information Processing System 14
    • Viola, P.1    Jones, M.2
  • 16
    • 0000934663 scopus 로고    scopus 로고
    • Two-phases method and branch and bound to solve the bi-objective knapsack problem
    • M. Visée, J. Teghem, M. Pirlot, and E. Ulungu. Two-phases method and branch and bound to solve the bi-objective knapsack problem. Journal of Global Optimization, 12(2):139-155, 1998.
    • (1998) Journal of Global Optimization , vol.12 , Issue.2 , pp. 139-155
    • Visée, M.1    Teghem, J.2    Pirlot, M.3    Ulungu, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.