메뉴 건너뛰기




Volumn , Issue , 2008, Pages

Facial feature detection with optimal pixel reduction SVM

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PROCESS; ENERGY-BASED FRAMEWORK; FACE DATABASE; FACIAL EXPRESSIONS; FACIAL FEATURE DETECTION; FACIAL FEATURE LOCALIZATION; MULTIBAND FILTERS; PARAMETER LEARNING; SIFT FEATURE; STATISTICAL TOOLS;

EID: 67650679843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2008.4813372     Document Type: Conference Paper
Times cited : (36)

References (31)
  • 5
    • 34547975736 scopus 로고    scopus 로고
    • Feature selection in a kernel space
    • DOI 10.1145/1273496.1273512, Proceedings, Twenty-Fourth International Conference on Machine Learning, ICML 2007
    • B. Cao, D. Shen, J.-T. Sun, Q. Yang, and Z. Chen. Feature selection in a kernel space. In Proceedings of International Conference on Machine Learning, 2007. (Pubitemid 47275057)
    • (2007) ACM International Conference Proceeding Series , vol.227 , pp. 121-128
    • Cao, B.1    Shen, D.2    Sun, J.-T.3    Yang, Q.4    Chen, Z.5
  • 6
    • 34547971383 scopus 로고    scopus 로고
    • Direct convex relaxations of sparse SVM
    • DOI 10.1145/1273496.1273515, Proceedings, Twenty-Fourth International Conference on Machine Learning, ICML 2007
    • A. B. Chan, N. Vasconcelos, and G. R. G. Lanckriet. Direct convex relaxtions of sparse SVM. In Proceedings of Inter- national Conference on Machine Learning, 2007. (Pubitemid 47275060)
    • (2007) ACM International Conference Proceeding Series , vol.227 , pp. 145-153
    • Chan, A.B.1    Vasconcelos, N.2    Lanckriet, G.R.G.3
  • 8
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • DOI 10.1023/A:1012450327387
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46(1-3):131-159, 2002. (Pubitemid 34129966)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 13
    • 34948892577 scopus 로고    scopus 로고
    • Incorporating spatial contiguity into the design of a support vector machine classifier
    • DOI 10.1109/IGARSS.2006.98, 4241245, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
    • M. Dundar, J. Theiler, and S. Perkins. Incorporating spatial contiguity into the design of a support vector machine classifier. In IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. (Pubitemid 47515523)
    • (2006) International Geoscience and Remote Sensing Symposium (IGARSS) , pp. 364-367
    • Dundar, M.1    Theiler, J.2    Perkins, S.3
  • 18
    • 34147167025 scopus 로고    scopus 로고
    • A hybrid classifier for precise and robust eye detection
    • DOI 10.1109/ICPR.2006.81, 1699945, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
    • L. Jin, X. Yuan, S. Satoh, J. Li, and L. Xia. A hybrid classifier for precise and robust eye detection. In International Conference on Pattern Recognition, 2006. (Pubitemid 46553525)
    • (2006) Proceedings - International Conference on Pattern Recognition , vol.4 , pp. 731-735
    • Jin, L.1    Yuan, X.2    Satoh, S.3    Li, J.4    Xia, L.5
  • 20
    • 84992726552 scopus 로고
    • Estimating Attributes: Analysis and Extensions of RELIEF
    • Machine Learning: ECML-94
    • I. Kononenko. Estimating attributes: Analysis and extensions of RELIEF. In Proceedings of European Conference on Computer Vision, 1994. (Pubitemid 24776416)
    • (1994) LECTURE NOTES IN COMPUTER SCIENCE , Issue.784 , pp. 171
    • Kononenko, I.1
  • 27
    • 34548551168 scopus 로고    scopus 로고
    • SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
    • DOI 10.1109/ICDM.2005.141, 1565706, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
    • J. Stoeckel and G. Fung. SVM feature selection for classification of spect images of alzheimer's disease using spatial information. In IEEE International Conference on Data Mining, 2005. (Pubitemid 47385720)
    • (2005) Proceedings - IEEE International Conference on Data Mining, ICDM , pp. 410-417
    • Stoeckel, J.1    Fung, G.2
  • 31
    • 10044286099 scopus 로고    scopus 로고
    • Robust real-time eye detection and tracking under variable lighting conditions and various face orientations
    • Z. Zhu and Q. Ji. Robust real-time eye detection and tracking under variable lighting conditions and various face orientations. Computer Vision and Image Understanding, 98(1):124-154, 2005.
    • (2005) Computer Vision and Image Understanding , vol.98 , Issue.1 , pp. 124-154
    • Zhu, Z.1    Ji, Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.