Human face recognition using accelerated multilayer perceptrons

International Journal of Computer Mathematics

Volumn 80, Issue 5, 2003, Pages 535-558

  Zainuddin, Z ^a   Evans, D J ^b   Ahmad Fadzil, M H ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

^b NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

Author keywords

Back propagation; Conjugate Gradient; Convergence; Dynamic Learning Rate (DLR); Dynamic Momentum Factor (DMF); Human face recognition; Learning algorithm; Steepest Descent

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; PROBLEM SOLVING;

CONJUGATE GRADIENTS; CONVERGENCE; DYNAMIC LEARNING RATES (DLR); DYNAMIC MOMENTUM FACTOR (DMF); HUMAN FACE RECOGNITION; STEEPEST DESCENT;

FACE RECOGNITION;

EID: 28244489524     PISSN: 00207160     EISSN: 10290265     Source Type: Journal    
DOI: 10.1080/0020716022000002774     Document Type: Article

References (26)

1. Abu-Mostafa, Y. S. and Psaltis, D. (1987). Optical neural computers. Scientific American, 256, 88-95.
2. Akmatsu, S., Sasaki, T., Fukamachi, H. and Suenaga, Y. (1991). A robust face identification Scheme-KL expansion of an invariant feature space. SPIE Proceedings: Intelligent Robots and Computer Vision X: Algorithms and Techniques, Vol. 1607, pp. 71-84.
3. Alpsan, D., Towsey, M., Ozdamar, O., Tsoi, A. and Ghista, D. N. (1994). Determining hearing threshold from brain stem evoked potentials. In IEEE Engineering in Medicine and Biology, pp. 465-471.
4. Baum, E. B. and Haussler, D. (1989). What size net gives valid generalisation? Neural Computation, 1, 151-160.
5. Brunelli, R. and Poggio, T. (1992). HyperBF networks for gender classification. In Proceedings of DARPA Image Understanding Workshop, pp. 311-314.
6. Chellappa, R., Sirohey, S., Wilson, C. L. and Bames, C. S. (1994). Human and machine recognition of faces: a survey. Technical Report CS-TR-3339, University of Maryland.
7. Cohn, D. and Tesauro, G. (1992). How tight are the Vapnik-Chervonenkis bounds? Neural Computation, 4, 249-269.
8. Evans, D. J. and Sanossian, H. Y. Y. (1993). A gradient range based heuristic algorithm for backpropagation. Journal of Microcomputer Applications, 16(2), pp. 179-188.
9. Evans, D. J., Madzil, M. H. and Zainuddin, Z. (1997). Accelerating backpropagation in human face recognition. In Proceedings of the I.E.E.E. International Conference on Neural Networks, Houston, Texas, USA, pp. 1347-1352.
10. Evans, D. J. and Zainuddin, Z. (1997). Acceleration of the backpropagation through dynamic adaptation of the momentum. Neural, Parallel and Scientific Computations, 5(3), 297-308.
11. (see also Internal Report No. 1028, PARC, Loughborough University of Tech., U.K. 1996).
12. Huang, S. C. and Huang, Y. F. (1991). Bounds on the number of hidden neurons in multilayer perceptrons. IEEE Transactions on Neural Networks, 2(1), 47-55.
13. Kirby, M. and Sirovich, L. (1990). Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 12.
14. Kohonen, T. (1982a). Self organized formation of topolically correct feature maps. Biological Cybernetics, 43, 59-69.
15. Kohonen, T. (1988). Self Organization and Associative Memory. Springer-Verlag, Berlin.
16. Lippmann, R. P. (1987). An Introduction to computing with neural nets. IEEE Acoustics, Speech and Signal Processing Magazine, 4(2), 4-22.
17. Mirchandani, G. and Cao, W. (1989). On hidden nodes for Neural Nets. IEEE Transactions on Circuits and Systems, 36(5), 661-664.
18. Pentland, A., Moghaddam, B., Starner, T. and Turk, M. (1994). View-based and Modular Eigenspaces for face recognition. In Proceedings, IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
19. Singhal, S. and Wu, L. (1989). Training feedforward networks with the extended Kalman algorithm. In Proceedings of the International Conference on Acoustics, Speech and Signal processing. Scotland, pp. 1187-1190.
20. Sirovich, L. and Kirby, M. (1987). Low-dimensional procedure for the characterization of human face. Journal of the Optical Society of America, 4, 519-524.
21. Turk, M. A. and Pentland, A. P. (1991). Face recognition using eigenfaces. In Proceedings, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 586-591.
22. Vincent, J. M., Myers, D. J. and Hutchinson, A. (1992). Image feature location in multi-resolution images using a hierarchy of multilayer perceptron. Neural Networks for Vision, Speech and Natural Language. Chapman and Hall, UK.
23. Zainuddin, Z. (1996). An initialization of weights procedure to improve the convergence of the back propagation neural network learning algorithm. In Proceedings of Research & Development in Computer Science & its Applications (REDECS), Serdang, Malaysia, pp. 24-25.
24. Zainuddin, Z. and Evans, D. J. (1997). Acceleration of the Back Propagation through dynamic adaptation of the learning rate. International Journal of Computer Mathematics, 334, 1-17.
25. (see also Internal Report No. 1029, PARC, Loughborough University of Tech., U.K. 1996).
26. Zainuddin, Z. and Ahmad Fadzil, M. H. (1998). Efficient BP learning using optimal momentum. In Proceedings of the International Conference on IT and Multimedia, UNITEN, Malaysia.