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Volumn 2, Issue , 2008, Pages 685-689

An improved random sampling LDA for face recognition

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; FINANCIAL DATA PROCESSING; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; RANDOM PROCESSES; SIGNAL PROCESSING;

EID: 52049106166     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2008.531     Document Type: Conference Paper
Times cited : (9)

References (12)
  • 2
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
    • P.N. Belhumer, J.P. Hespanha, and D.J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, 1997.
    • (1997) IEEE Trans. Pattern Anal. Mach. Intell , vol.19 , Issue.7 , pp. 711-720
    • Belhumer, P.N.1    Hespanha, J.P.2    Kriegman, D.J.3
  • 3
    • 0001765951 scopus 로고    scopus 로고
    • A Direct LDA Algorithm for High-dimensional Data with Application to Face Recognition
    • H. Yu and J. Yang, "A Direct LDA Algorithm for High-dimensional Data with Application to Face Recognition," Pattern Recognition, vol. 34, pp. 2067-2070, 2001.
    • (2001) Pattern Recognition , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 4
    • 10044254164 scopus 로고    scopus 로고
    • Regularization Studies of Linear Discriminant Analysis in Small Sample Size Scenarios with Application to Face Recognition
    • J. Lu, K. Plataniotis, and A.Venetsanopoulos, "Regularization Studies of Linear Discriminant Analysis in Small Sample Size Scenarios with Application to Face Recognition," Pattern Recognition Letter, vol. 26, no. 2, pp. 181-191, 2005.
    • (2005) Pattern Recognition Letter , vol.26 , Issue.2 , pp. 181-191
    • Lu, J.1    Plataniotis, K.2    Venetsanopoulos, A.3
  • 5
    • 0036080160 scopus 로고    scopus 로고
    • Bagging, Boosting, and the Random Subspace Method for Linear Classifiers
    • M. Skurichina and R.P.W. Duin, "Bagging, Boosting, and the Random Subspace Method for Linear Classifiers," Pattern Analysis and Applications, vol. 5, pp. 121-135, 2002.
    • (2002) Pattern Analysis and Applications , vol.5 , pp. 121-135
    • Skurichina, M.1    Duin, R.P.W.2
  • 9
    • 34247608749 scopus 로고    scopus 로고
    • A Linear Discriminant Analysis Framework Based on Random Subspace for Face Recognition
    • X. Zhang and Y. Jia, "A Linear Discriminant Analysis Framework Based on Random Subspace for Face Recognition," Pattern Recognition, vol. 40, pp. 2585-2591, 2007.
    • (2007) Pattern Recognition , vol.40 , pp. 2585-2591
    • Zhang, X.1    Jia, Y.2
  • 10
    • 0035680116 scopus 로고    scopus 로고
    • Rapid Object Detection using a Boosted Cascade of Simple Features
    • Paul Viola and Michael Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features," In Proc. of Computer Vision and Pattern Recognition, vol.1, pp. 511-518, 2001.
    • (2001) Proc. of Computer Vision and Pattern Recognition , vol.1 , pp. 511-518
    • Viola, P.1    Jones, M.2
  • 11
    • 40949088042 scopus 로고    scopus 로고
    • Comparative Studies of Feature Extraction Methods with Application to Face Recognition
    • Man and Cybernetics, pp
    • Y. Jiang and P. Guo, "Comparative Studies of Feature Extraction Methods with Application to Face Recognition," In Proc. of IEEE International Conference on System, Man and Cybernetics, pp. 3627-3632, 2007.
    • (2007) Proc. of IEEE International Conference on System , pp. 3627-3632
    • Jiang, Y.1    Guo, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.