Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2012:
Metadata Last Update2020: administrator
Citation KeyEl-DinMousMahd:2012:MiTwGe
TitleA mixture of two gender classification experts
FormatDVD, On-line.
Access Date2021, Jan. 28
Number of Files1
Size304 KiB
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Author1 El-Din, Yomna Safaa
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
3 Department of Computer and Systems Engineering, Ain Shams University, Cairo, Egypt
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:35 :: -> administrator :: 2012
2020-02-19 02:18:29 :: administrator -> :: 2012
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordscommittee machines, Bayes, gender classification.
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.
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Target File101351_CameraReadyIEEE.pdf
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