@InProceedings{El-DinMousMahd:2012:MiTwGe,
author = "El-Din, Yomna Safaa and Moustafa, Mohamed N. and Mahdi, Hani",
affiliation = "Department of Computer and Systems Engineering, Ain Shams
University, Cairo, Egypt and Department of Computer Science and
Engineering, American University in Cairo, New Cairo, Egypt and
Department of Computer and Systems Engineering, Ain Shams
University, Cairo, Egypt",
title = "A mixture of two gender classification experts",
booktitle = "Proceedings...",
year = "2012",
editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno,
Roberto and Silva, Luciano",
organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
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.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.41",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.41",
language = "en",
ibi = "8JMKD3MGPBW34M/3CF53LS",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3CF53LS",
targetfile = "101351_CameraReadyIEEE.pdf",
urlaccessdate = "2024, May 05"
}