A maximum uncertainty LDA-based approach for limited sample size problems — with application to face recognition

被引:0
|
作者
Department of Electrical Engineering, Centro Universitário da FEI, São Paulo, Brazil [1 ]
不详 [2 ]
机构
来源
J. Braz. Comput. Soc. | 2006年 / 2卷 / 7-18期
关键词
D O I
10.1007/BF03192391
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Component-based LDA method for face recognition with one training sample
    Huang, J
    Yuen, PC
    Chen, WS
    Lai, JH
    IEEE INTERNATIONAL WORKSHOP ON ANALYSIS AND MODELING OF FACE AND GESTURES, 2003, : 120 - 126
  • [22] Shannon wavelet kernel based subspace LDA approach in face recognition
    Chen, Wen-Sheng
    Yuen, Pong Chi
    Fang, Bin
    Lai, Jian-Huang
    2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS, 2006, : 708 - 713
  • [23] A novel LDA algorithm based on approximate error probability with application to face recognition
    Huang, D.
    Xiang, C.
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 653 - +
  • [24] ON SOLUTION OF SMALL SAMPLE SIZE PROBLEM WITH LINEAR DISCRIMINANT ANALYSIS IN FACE RECOGNITION PROBLEMS
    Mokeyev, V.
    Tomilov, S.
    BIZNES INFORMATIKA-BUSINESS INFORMATICS, 2013, 23 (01): : 37 - +
  • [25] An efficient face recognition approach combining likelihood-based sufficient dimension reduction and LDA
    Abdallah Benouareth
    Multimedia Tools and Applications, 2021, 80 : 1457 - 1486
  • [26] An efficient face recognition approach combining likelihood-based sufficient dimension reduction and LDA
    Benouareth, Abdallah
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (01) : 1457 - 1486
  • [27] Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
    Lu, JW
    Plataniotis, KN
    Venetsanopoulos, AN
    PATTERN RECOGNITION LETTERS, 2005, 26 (02) : 181 - 191
  • [28] Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition
    Zhuang, XS
    Dai, DQ
    PATTERN RECOGNITION, 2005, 38 (11) : 2192 - 2194
  • [29] Weighted maximum scatter difference based feature extraction and its application to face recognition
    Li, Xiaodong
    Fei, Shumin
    Zhang, Tao
    MACHINE VISION AND APPLICATIONS, 2011, 22 (03) : 591 - 595
  • [30] Kernel maximum scatter difference based feature extraction and its application to face recognition
    Wang, Jian-guo
    Lin, Yu-sheng
    Yang, Wan-kou
    Yang, Jing-yu
    PATTERN RECOGNITION LETTERS, 2008, 29 (13) : 1832 - 1835