Eye detection using optimal wavelet packets and radial basis functions (RBFs)

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 13, Issue 7, 1999, Pages 1009-1025

  Huang, Jeffrey ^a   Wechsler, Harry ^a  

^a George Mason University   (United States)

Author keywords

Eye detection; Face recognition; Neural network performance; Optimal sampling; Pattern classification; RBFs (radial basis functions); Wavelet packets

Indexed keywords

EID: 0000210115     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001499000562     Document Type: Article

References (24)

1. A. R. Barron, "Approximation and estimation bounds for artificial neural networks," Proc. 4th Workshop on Computational Learning Theory, eds. M. K. Warmuth and L. G. Valiant, Morgan Kaufmann, 1991, pp. 243-249.
2. R. Chellappa, C. L. Wilson and S. Sirohey, "Human and machine recognition of faces: a survey," Proc. IEEE 83 (1995) 705-740.
3. V. Cherkassky and F. Mulier, Learning from Data: Concepts, Theory and Methods, Wiley, 1998.
4. V. Cherakssky and X. Shao, "Signal estimation and denoising using VC-theory," Neural Comput. (under review).
5. R. Coifman and V. Wickerhauser, "Entropy-based algorithms for best basis selection," IEEE Trans. Inform. Th. 38, 2 (1992) 713-718.
6. I. Daubechies, "Orthonormal bases of compactly supported wavelets," Comun. Pure Appl. Math. 41 (1998) 909-996.
7. J. G. Daugman, "An information-theoretic view of analog representation in striate cortex," Computational Neuroscience, ed. E. L. Schwartz, MIT Press, 1990, pp. 403-424.
8. D. Gabor, "Theory of communication," J. IEEE 93 (1946) 429-459.
9. E. Hartman and J. Keeler, "Predicting the future: advantages of semilocal units," Neural Comput. 3 (1991) 566-578.
10. J. Huang, C. Liu and H. Wechsler, "Evolutionary computation and face recognition," Face Recognition: From Theory to Applications, eds. H. Wechsler, J. P. Phillips, V. Bruce, F. Fogelman-Soulie and T. Huang, Springer-Verlag, 1998.
11. J. Huang and H. Wechsler, "Visual routines for eye location using learning and evolution," IEEE Trans. Evolutionary Comput., 1999 (in press).
12. R. Kohavi and G. John, Wrappers for Feature Subset Selection, Technical Report, Computer Science Department, Stanford University, 1995.
13. A. Krogh and J. Vedelsby, "Neural network ensembles, cross validation and active learning," Advances in Neural Information Processing Systems, Vol. 2, eds. D. S. Touretzky, Morgan Kaufmann, 1995, pp. 231-238.
14. R. Linsker, "Self-organization in a perceptual neural network," Computer 21 (1988) 105-117.
15. R. P. Lippmann and K. Ng, "A comparative study of the practical characteristic of neural networks and pattern classifiers," Technical Report 894, Lincoln Labs., MIT, 1991.
16. C. Liu and H. Wechsler, "Face recognition using evolutionary pursuit," 5th European Conf. Computer Vision (ECCV), Freiburg, Germany, 1998.
17. A. Malinowski and J. M. Zurada, "Minimal training set size estimation for sampled-data function encoding," World Congress on Neural Networks (WCNN), Vol. II, San Diego, CA, 1994, pp. 366-371.
18. S. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," IEEE Trans. Patt. Anal. Mach. Intell. 11, 7 (1989) 674-693.
19. B. Moghaddam and A. Pentland, "Probabilistic visual learning for object representation," IEEE Trans. Patt. Anal. Mach. Intell. 19, 7 (1997) 696-710.
20. P. J. Phillips, H. Wechsler, J. Huang and P. Rauss, "The FERET database and evaluation procedure for face recognition," Imag. Vis. Comput. 16, 5 (1998) 295-306.
21. A. Samal and P. Iyengar, "Automatic recognition and analysis of human faces and facial expressions: a survey," Patt. Recogn. 25 (1992) 65-77.
22. V. Vapnik, Statistical Learning Theory, Springer Verlag, 1995.
23. R. Wilson, "Wavelets: why so many varieties?" UK Symp. Applications of Time-Frequency and Time-Scale Methods, University of Warwick, Coventry, UK, 1995.
24. Q. Zhang and A. Benveniste, "Wavelet networks," IEEE Trans. Neural Networks 3, 6 (1992) 889-898.