Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines-Reference-Cited by-同舟云学术

Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines

Published:2006 Issue: Volume: Page:202-209
ISSN:0302-9743
Container-title:Advances in Neural Networks - ISNN 2006
language:
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Author:

Lian Hui-Cheng,Lu Bao-Liang

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11760023_30.pdf

Reference12 articles.

1. Moghaddam, B., Yang, M.H.: Learning Gender with Support Faces. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(5), 707–711 (2002)

2. Balci, K., Atalay, V.: PCA for Gender Estimation: Which Eigenvectors Contribute? In: 16th International Conference on Pattern Recognition (ICPR 2002), Quebec City, QC, Canada, vol. 3, pp. 363–366 (2002)

3. Iga, R.: Gender and Age Estimation System from Face Images. In: SICE Annual Conference in Fukui, August 4-6, pp. 756–761 (2003)

4. Hosoi, S., Takikawa, E., Kawade, M.: Ethnicity Estimation with Facial Images. In: Sixth IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, May 17-19, pp. 195–200 (2004)

5. Lecture Notes in Computer Science;H.C. Lian,2005

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