Sorted locally confined non-negative matrix factorization in face verification

2005 International Conference on Communications, Circuits and Systems - Proceedings

Volumn 2, Issue , 2005, Pages 820-824

  Teoh, Andrew B J ^a   Neo, H F ^a   Ngo, David C L ^a  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE PROCESSING; MATRIX ALGEBRA;

FEATURE REGION; NON-NEGATIVE MATRIX FACTORIZATION;

FACE RECOGNITION;

EID: 29844455430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCAS.2005.1495236     Document Type: Conference Paper

References (8)

1. M.Turk, A.Pentland. Engenfaces for recognition. J. Cognitive Neurosci. 3(1): 71-86, 1991.
2. Belhumeur, P. N., Hespanha, J. P. and Kriegman, D. J. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Transactions On Pattern Analysis And Machine Intelligence, 19(7), pp 711-720, 1997.
3. P.Penev and J.Atick. Local feature analysis: A general statistical theory for object representation. Neural Systems vol.7, no.3, 477-500, 1996.
4. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski. Face Recognition by Independent Component Analysis IEEE Transaction on Neural Networks, Vol 13, pp. 1450-1464, 2002.
5. D.D.Lee, H.S.Seung. Learning the Parts of Obejcts by Non-Negative Matrix Factorization. Nature, vol. 401, pp. 788-791, 1999.
6. S.Z.Li, X.W.Hou, H.J.Zhang, Q.Cheng, Learning Spatially Localized, Parts-Based Representation, IEEE CVPR(1): 207-212, 2001.
7. D.D.Lee, H.S.Seung, Algorithms for Non-Negative Matrix Factorization. Proceedings of Neural Information Processing Systems, vol. 13, pp. 556-562, 2001.
8. Phillips, P., Moon, H., Rauss, P. and Rizvi, S. The FERET database and evaluation methodology for face recognition algorithms. In Proc. IEEE Conf on Computer Vision and Pattern Recognition, pages 137-143, 1997.