The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models.
Article
Loomes, M., Davey, N., Frank, R. and Buchala, S. 2005. The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models. International Journal of Neural Systems. 15 (1-2), pp. 121-128. https://doi.org/10.1142/S0129065705000074
Type | Article |
---|---|
Title | The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models. |
Authors | Loomes, M., Davey, N., Frank, R. and Buchala, S. |
Abstract | This paper describes a global and feature based representation of face images. We use dimensionality reduction techniques and a support vector machine classifier and show this method performs better than more traditional approaches. We present results of human performance on gender classification tasks and evaluate how the different techniques compare with their performance. The results support the psychological plausibility of the global and feature based representation. This aspect of the work was carried out in collaboration with practitioners in Psychiatry at a local hospital. The paper was selected for publication as an expanded version of a paper presented at ICONIP2004. |
Research Group | SensoLab group |
Publisher | World Scientific Publishing Company |
Journal | International Journal of Neural Systems |
ISSN | 0129-0657 |
Publication dates | |
01 Apr 2005 | |
Publication process dates | |
Deposited | 17 Oct 2008 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1142/S0129065705000074 |
Language | English |
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