Neural-network-based gender classification using genetic search for eigen-feature selection

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2002, Pages 2433-2438

  Sun, Zehang ^a   Yuan, Xiaojing ^a   Bebis, George ^a   Louis, Sushi J ^a  

^a University of Nevada   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EIGENVALUES AND EIGENFUNCTIONS; ERRORS; FACE RECOGNITION; FEATURE EXTRACTION; GENETIC ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS;

EIGEN FEATURE SELECTION; ERROR RATE; GENDER CLASSIFICATION;

NEURAL NETWORKS;

EID: 0036083011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

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11. Principal component and neural network analyses of face images: What can be generalized in gender classification?
12. More about the difference between men and women: Evidence from linear networks and the principal component approach
13. Sex classification of face areas: How well can a linear neural network predict human performance?
14. The CHC adaptive search algorithm: How to have safe search when engaging in non-traditional genetic recombination