Adaptive classification algorithm based on maximum scatter difference discriminant criterion

Zidonghua Xuebao/Acta Automatica Sinica

Volumn 32, Issue 4, 2006, Pages 541-549

  Song, Feng Xi ^a   Zhang, David ^b   Yang, Jing Yu ^c   Gao, Xiu Mei ^d  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d HUAIYIN NORMAL UNIVERSITY   (China)

Author keywords

Adaptive algorithm; Face recognition; Fisher discriminant criterion; Large margin linear projection; Machine learning; Maximum scatter difference

Indexed keywords

DATABASE SYSTEMS; FACE RECOGNITION;

ADAPTIVE CLASSIFICATION ALGORITHM; FISHER DISCRIMINANT CRITERION; LARGE MARGIN LINEAR PROJECTION; MACHINE LEARNING; MAXIMUM SCATTER DIFFERENCE (MSD); PULSE CURVE; SAMPLE RECOGNITION RATE; SCATTER MATRIX;

ADAPTIVE ALGORITHMS;

EID: 33748463769     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Song F X, Cheng K, Yang J Y, Liu S H. Maximum scatter difference, large margin linear projection and support vector machines. Acta Automatica Sinica, 2004, 30(6): 890-896
2. Duda R O, Hart P E, Stork D G. Pattern Classification. New York: John Wiley and Sons, 2001
3. Turk M, Pentland A. Human face recognition. Journal of Cognitive Neuroscience, 1991, 3(1): 71-86
4. Belhumeur P N, et al. Eigenfaces vs Fisherfaces: Recognition using class specific linear projections. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711-720
5. Vapnik V. The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995
6. http://www.ics.uci.edu/mlearn/MLRepository.html
7. Wei Q L, Wang R S, Xu B, Wang J Y, Bai W L. Mathematical Programming and Optimization Design. Beijing: National Defense Industry Press, 1984
8. Olivetti Research Laboratory face database: http://www.uk.research.att.com/facedatabase.html
9. Song F X, Yang J Y, Liu S H. Large margin linear projection and face recognition. Pattern Recognition, 2004, 37(9): 1953-1955
10. Hsu C, Lin C. A Comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks, 2002, 13(2): 415-425
11. Ma J S, Zhao Y, Ahalt S. 'OSU SVM Classifier Matlab Toolbox (ver 3.00)', http://eewww.eng.ohiostate.edu/maj/osu_svm/