Reference TypeConference Proceedings
Citation KeySafaaEl-DinMousMahd:2011:MiTwGe
Author1 Safaa El-Din, Yomna
2 Moustafa, Mohamed N.
3 Mahdi, Hani
Affiliation1 Department of Computer and Systems Engineering, Ain Shams University, Cairo, Egypt,
2 Department of Computer Science and Engineering, American University in Cairo, New Cairo, Egypt, Email:,
3 Department of Computer and Systems Engineering, Ain Shams University, Cairo, Egypt, Email:
TitleA mixture of two gender classification experts
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationMaceió
Keywordsgender classification, committee machines, face image analysis, Naive Bayes.
AbstractThis paper presents a novel method for combining the outputs of different gender classification techniques based on facial images. Merging the methods is performed by a committee machine using the Bayesian theorem. We implement and compare several well-known individual classifiers on four different datasets, then we experiment the proposed machine, and show that it significantly improves the accuracy of classification compared to individual classifiers. We also include results that address the effect of scale on the performance of classifiers.
Tertiary TypeFull Paper
FormatDVD, On-line.
Size300 KiB
Number of Files1
Target File101351_CameraReady.pdf
Last Update2012:
Metadata Last Update2020: administrator {D 2011}
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History2012-07-05 19:16:04 :: -> administrator ::
2020-02-19 02:19:28 :: administrator -> :: 2011
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