Survey of distance measures for NMF-based face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4456 LNAI, Issue , 2007, Pages 1039-1049

  Xue, Yun ^a   Tong, Chong Sze ^b   Zhang, Weipeng ^b  

^a SOUTH CHINA NORMAL UNIVERSITY   (China)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; LEARNING ALGORITHMS; MATRIX ALGEBRA; UNSUPERVISED LEARNING; VISUAL SERVOING;

LINEAR COMBINATION; NEGATIVE MATRIX FACTORIZATION (NMF); UNSUPERVISED LEARNING ALGORITHMS; VISUAL DATA;

FACE RECOGNITION;

EID: 38349071129     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74377-4_109     Document Type: Conference Paper

References (11)

1. Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, New York (1991)
2. Feng, T., Li, S.Z., Shum, H.-Y., Zhang, H.: Local non-negative matrix factorization as a visual representation. In: ICDL '02: Proceedings of the 2nd International Conference on Development and Learning, vol. 178, p. 178. IEEE Computer Society, Washington, DC, USA (2002)
3. Fraser, A., Hengartner, N., Vixie, K., Wohlberg, B.: Incorporating invariants in mahalanobis distance based classifiers: Application to face recognition. In: International Joint Conference on Neural Networks (IJCNN), Portland, OR, USA (2003)
4. Guillamet, D., Vitrià, J.: Evaluation of distance metrics for recognition based on non-negative matrix factorization. Pattern Recogn. Lett. 24(9-10), 1599-1605 (2003)
5. Guillamet, D., Vitrià, J.: Non-negative matrix factorization for face recognition. In: Escrig, M.T., Toledo, F.J., Golobardes, E. (eds.) Topics in Artificial Intelligence. LNCS (LNAI), vol. 2504, pp. 336-344. Springer, Heidelberg (2002)
6. Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401, 788-791 (1999)
7. Lee, D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. Adv. Neural Info. Proc. Syst. 13, 556-562 (2001)
8. Perlibakas, V.: Distance measures for pea-based face recognition. Pattern Recogn. Lett. 25(6), 711-724 (2004)
9. Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cognitive Neuroscience 3, 71-86 (1991)
10. Yu, J.: Clustering methods, applications of multivariate statistical analysis. In: Technical report, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871
11. Zhang, Y., Fang, K.: An Introduction to Multivariate Analysis. Science Press, Beijing (1982)