On co-training online biometric classifiers

2011 International Joint Conference on Biometrics, IJCB 2011

Volumn , Issue , 2011, Pages

  Bhatt, Himanshu S ^a   Bharadwaj, Samarth ^a   Singh, Richa ^a   Vatsa, Mayank ^a   Noore, Afzel ^b   Ross, Arun ^b  

^a INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b WEST VIRGINIA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRIC DATA; BIOMETRIC VERIFICATION; CLASSIFICATION ACCURACY; CLASSIFIER DECISIONS; CO-TRAINING; COMPUTATIONAL TIME; FACE VERIFICATION; LABELED DATA; ON-LINE CLASSIFIER; ONLINE LEARNING; SEMI-SUPERVISED LEARNING;

ALGORITHMS; BIOMETRICS; SUPERVISED LEARNING;

E-LEARNING;

EID: 84862925237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCB.2011.6117519     Document Type: Conference Paper

References (23)

1. http://www.nisLgov/itlliad/ig/mbgc-presentations.cfm.
2. S.A bney.B ootstrapping.I n Proceedings of Annual Meeting on Association for Computational Linguistics, pages 360-367,2002.
3. T. Ahonen, A.Hadid, and M. Pietikainen. Face description with local binary patterns: Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(12):2037-2041, 2006. (Pubitemid 46405714)
4. S. Baker, T. Kanade, J. Cohn, I. Matthews, and R. Gross. Multi-pie. In Proceedings of International Conference on Automatic Face and Gesture Recognition, pages 1-8,2008.
5. M. Balcan, A. Blum, P. P. Choi, J. Lafferty, B. Pantano, M.R .R webangira,a nd X. Zhu. Person identification in webcam images: An application of semi-supervised learning. In Proceedings of International Conference on Machine Learning Workshop on Learning from Partially Classified Training Data, pages 1-9,2005.
6. H. Bay, T. Tuytelaars, and L. V. Gool. Surf: Speeded up robust features. In Proceedings of European Conference on Computer Vision, pages 404-417, 2006. (Pubitemid 44029795)
7. A. Blum and T. Mitchell. Combining labeled and unlabeled data with co-training. In Proceedings of Conference on Computational Learning Theory, pages 92-100,1998.
8. G. Cauwenberghs and T. Poggio. Incremental and Decremental Support Vector Machine Learning. In Proceedings of Advances in Neural Information Processing Systems, pages 409-415,2000.
9. O. Chapelle, B. Scholkopf, and A. Zien. Semi-Supervised Learning. The MIT Press, 1st edition, 2010.
10. S. Crihalmeanu, A. Ross, S. Schuckers, and L. Hornak. A protocol for multi biometric data acquisition, a protocol for multi biometric data acquisition, storage and DISSemination. Technical report, 2007.
11. J.F ierrez-Aguilar, J.O rtega-Garcia, J.G onzalez-Rodriguez, and J. Bigun. Discriminative multi modal biometric authentication based on quality measures. Pattern Recognition, 38(5):777-779,2005. (Pubitemid 40226370)
12. W. Gao, B. Cao, S. Shan, D. Zhou, X. Zhang, and D. Zhao. The CAS-PEAL large-scale chinese face database and evaluation protocols. Technical report, Joint Research and Development Laboratory, CAS, 2004.
13. X. Jiang and W. Ser. Online fingerprint template improvement. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(8): 1121-1126, 2002.
14. Y. Kim, K.-A. Toh, and A. Teoh. An online learning algorithm for biometric scores fusion. In Proceedings of International Conference on Biometrics: Theory Applications and Systems, pages 1-6,2010.
15. X. Liu, T. Chen, and S. M. Thornton. Eigenspace updating for non-stationary process and its application to face recognition. Pattern Recognition, 36(9):1945-1959, 2003. (Pubitemid 36726815)
16. A. Martinez and R. Benevento. The AR face database. CVC Technical Report #24, 1998.
17. N. Poh, R. Wong, J. Kittler, and F. Roli. Challenges and research directions for adaptive biometric recognition systems. In Proceedings of International Conference on Advances in Biometrics, pages 753-764, 2009.
18. B.R aducanu and J.V itri.O nline nonparametric discriminant analysis for incremental subspace learning and recognition. Pattern Analysis and Applications, 11 :259-268, 2008.
19. F. Roli,L .D idaci,a nd G.M arcialis.A daptive biometric systems that can improve with use. In Proceedings of Advances in Biometrics: Sensors, Systems and Algorithms, Springer, pages 447-471, 2008.
20. C.R yu, H.K im, and A.J ain.T emplate adaptation based fingerprint verification. In Proceedings of International Conference on Pattern Recognition, pages 582-585, 2006.
21. R. Singh, M. Vatsa, A. Ross, and A. Noore. Biometric classifier update using online learning: A case study in near infrared face verification. Image and Vision Computing, 28:1098-1105,2010.
22. M.U ray,D .S kocaj,P .M .R oth,a nd H.B ischof.I ncremental Ida learning by combining reconstructive and discriminative approaches. In Proceedings of British Machine Vision Conference, pages 272-281, 2007.
23. w. Wang and Z. H.Z hou. A new analysis of co-training. In Proceedings of International Conference on Machine Learning, pages 1135-1142,2010.