Incremental learning for online face recognition

Proceedings of the International Joint Conference on Neural Networks

Volumn 5, Issue , 2005, Pages 3174-3179

  Ozawa, Seiichi ^a   Toh, Soon Lee ^a   Abe, Shigeo ^a   Pang, Shaoning ^b   Kasabov, Nikola ^b  

^a KOBE UNIVERSITY   (Japan)

^b AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; LEARNING SYSTEMS; ONLINE SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; RESOURCE ALLOCATION;

FEATURE SPACE; INCREMENTAL LEARNING; LONG TERM MEMORY; RESOURCE ALLOCATING NETWORK;

FACE RECOGNITION;

EID: 31944451230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556435     Document Type: Conference Paper

References (20)

1. A. J. Howell, "Introduction to Face Recognition," in L. C. Jain et al. (Eds.) Intelligent Biometric Techniques in Fingerprint and Face Recognition, CRC Press, pp. 217-284, 1999.
2. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss, "The FERET Evaluation Methodology for Face-Recognition Algorithms," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 10, pp. 1090-1104, 2000.
3. J. Weng, C. H. Evans, and W.-S. Hwang, "An Incremental Learning Method for Face Recognition under Continuous Video Stream," Proc. of Fourth IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp. 251-256, 2000.
4. C. Liu and H. Wechsler, "Learning the Face Space - Representation and Recognition," Proc. of Int. Conf. on Pattern Recognition, pp. 1249-1256, 2000.
5. S. L. Toh and S. Ozawa, "A Face Recognition System Using Neural Networks with Incremental Learning Ability," Proc. 8th Australian and New Zealand Conf. on Intelligent Information Systems, pp. 389-394, 2003.
6. E. Oja and J. Karhunen, "On Stochastic Approximation of the Eigenvectors and Eigenvalues of the Expectation of a Random Matrix," J. Math. Analysis and Application, vol. 106, pp. 69-84, 1985.
7. T. D. Sanger, "Optimal Unsupervised Learning in a Single-layer Linear Feedforward Neural Network," IEEE Trans. Neural Networks, vol. 2, pp. 459-473, 1989.
8. M. Kirby and L. Sirovich, "Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 12, no. 1, pp. 103-108, 1990.
9. M. Turk and A. Pentland, "Eigenfaces for Recognition," Journal of Cognitive Neuroscience, vol. 3, no. 1, pp. 71-86, 1991.
10. P. Hall and R. Martin, "Incremental Eigenanalysis for Classification," Proc. British Machine Vision Conference, vol. 1, pp. 286-295, 1998.
11. N. Kasabov, Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines, Springer-Verlag, 2002.
12. S. Pang, S. Ozawa, and N. Kasabov, "One-pass Incremental Membership Authentication by Face Classification," in Biometric Authentication, D. Zhang and A. K. Jain (Eds.), Lecture Notes in Computer Science, Springer-Verlag, pp. 155-161, 2004.
13. S. Ozawa, S. Pang, and N. Kasabov, "A Modified Incremental Principal Component Analysis for On-line Learning of Feature Space and Classifier," in PRICAI 2004: Trends in Artificial Intelligence, C. Zhang, H. W. Guesgen, and W. K. Yeap (Eds.), Lecture Notes in Artificial Intelligence, Springer-Verlag, pp. 231-240, 2004.
14. M. Kobayashi, A. Zamani, S. Ozawa, and S. Abe, "Reducing Computations in Incremental Learning for Feedforward Neural Network with Long-Term Memory," Proc. Int. Joint Conf. on Neural Networks, vol. 3, pp. 1989-1994, 2001.
15. K. Okamoto, S. Ozawa, and S. Abe, "A Fast Incremental Learning Algorithm of RBF Networks with Long-Term Memory," Proc. Int. Joint Conf. on Neural Networks, vol. 1, pp. 102-107, 2003.
16. G. A. Carpenter and S. Grossberg, "The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network," IEEE Computer, vol. 21, no. 3. pp. 77-88, 1988.
17. J. Platt, "A Resource-allocating Network for Function Interpolation," Neural Computation, vol. 3, no. 2, pp. 213-225, 1991.
18. T. Poggio and F. Girosi, "Networks for Approximation and Learning," IEEE Trans. on Neural Networks, vol. 78, no. 9, pp. 1481-1497, 1990.
19. M. J. L. Orr, "Introduction to Radial Basis Function Networks," Tech. Report of Institute for Adaptive and Neural Computation, Division of Informatics, Edinburgh University, 1996.
20. S. Haykin, Neural Networks - A Comprehensive Foundation (2nd Ed.), Prentice Hall, 1999.