Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3CF53LS |
Repository | sid.inpe.br/sibgrapi/2012/08.16.10.43 |
Last Update | 2012:08.16.10.43.36 yomna.safaa-eldin@eng.asu.edu.eg |
Metadata | sid.inpe.br/sibgrapi/2012/08.16.10.43.36 |
Metadata Last Update | 2020:02.19.02.18.29 administrator |
Citation Key | El-DinMousMahd:2012:MiTwGe |
Title | A mixture of two gender classification experts  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 28 |
Number of Files | 1 |
Size | 304 KiB |
Context area | |
Author | 1 El-Din, Yomna Safaa 2 Moustafa, Mohamed N. 3 Mahdi, Hani |
Affiliation | 1 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 |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | yomna.safaa-eldin@eng.asu.edu.eg |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:35 :: yomna.safaa-eldin@eng.asu.edu.eg -> administrator :: 2012 2020-02-19 02:18:29 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | committee machines, Bayes, gender classification. |
Abstract | This 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. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3CF53LS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3CF53LS |
Language | en |
Target File | 101351_CameraReadyIEEE.pdf |
User Group | yomna.safaa-eldin@eng.asu.edu.eg |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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