PCA for gender estimation: Which eigenvectors contribute?

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 3, 2002, Pages 363-366

  Balci, Koray ^a   Atalay, Volkan ^b  

^a LORIA   (France)

^b MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITION MONITORING; EIGENVALUES AND EIGENFUNCTIONS; MULTILAYER NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; FACE RECOGNITION; PATTERN RECOGNITION; SOCIAL SCIENCES;

GENDER ESTIMATION;

PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS;

EFFECTIVE INPUTS; FACE SPACE; FERET FACE DATABASE; GENDER ESTIMATIONS; MULTI LAYER PERCEPTRON;

EID: 10044278604     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. H. Abdi, D. Valentin, and A. O'Toole. Optimality in Biological and Arti£cial Networks?, chapter A generalized autoassociator model for face processing and sex categorization: From principal components to multivariate analysis, pages 317-337. Erlbaum, Mahwah (N.J.), 1997.
2. B. Edelman, D. Valentin, and H. Abdi. Sex classification of face areas: How well can a linear neural network predict human performance. Journal of Biological Systems, 6:241-264, 1998.
3. M. Fleming and G. Cottrell. Categorization of faces using unsupervised feature extraction. In Proceedings of IJCNN-90, pages 65-70. IEEE Neural Networks Council, 1990.
4. B. Golomb, D. Lawrence, and T. Sejnowski. Sexnet: A neural network identi£es sex from human faces, volume 3 of Advances in Neural Information Processing Systems, pages 572-577. Morgan-Kaufmann, San Mateo CA, 1991.
5. M. Gray, D. Lawrence, B. Golomb, and T. Sejnowski. A perceptron reveals the face of sex. Neural Computation, 7:6:1160-1164, October 1995.
6. A. O'Toole, H. Abdi, K. Deffenbacher, and D.Valentin. Cognitive and Computational Aspects of Face Recognition, chapter 8 - A Perceptual Learning Theory of the Information in Faces, pages 159-182. Routledge, London, 1995.
7. A. O'Toole, T. Vetter, H. Bulthoff, and N. Troje. The role of shape and texture information in sex classification. Technical Report 23, Max-Planck-Institut, December 1995.
8. P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss. The feret database and evaluation procedure for face recognition algorithms. Image and Vision Computing, 16(5):295-306, 1998.
9. R. Reed. Pruning algorithms - a survey. IEEE Transactions on Neural Networks, pages 740-747, 1993.
10. S. Tamura, H. Kawai, and H. Mitsumoto. Male/female identi£cation from 8×6 very low resolution face images by neural network. Pattern Recognition, 29(2):331-335, 1996.
11. D. Tranel, A. Damasio, and H. Damasio. Intact recognition of facial expression, gender, and age in patients with impaired recognition of face identity. Neurology, pages 690-696, 1988.
12. D. Valentin, H. Abdi, B. Edelman, and A. O'Toole. Principal component and neural network analysis of face images: What can be generalized in gender classi£cation. Journal of Mathematical Psychology, 41:398-412, 1997.