%0 Journal Article
%T A New Age Estimation Method Based on Ensemble Learning<br>基于集成的年龄估计方法
%A ZHANG Yu
%A ZHOU Zhi-Hua
%A <br>张宇
%A ZHOU Zhi-Hua
%J 自动化学报
%D 2008
%I 
%X For the last decade,research on face recognition has attracted much attention due to its wide application.How- ever,the factor that affects the performance of face recognition and has been neglected by researchers is the aging variation. Age estimation is an important problem in the face recognition technique.This paper proposes two algorithms for age estima- tion by utilizing canonical correlation analysis and cost-sensitive learning.Furthermore,these two algorithms are combined into the ensemble method to improve the accuracy of age estimation. Finally,the experimental results show the effectiveness of the proposed method.
%K Face recognition
%K age estimation
%K canonical correlation analysis
%K cost-sensitive learning
%K ensemble learning<br>人脸识别
%K 年龄估计
%K 典型相关分析
%K 代价敏感学习
%K 集成学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=DE6AF9FC5B038F69681226A1775C9FB4&yid=67289AFF6305E306&vid=339D79302DF62549&iid=5D311CA918CA9A03&sid=71EC92B56215521C&eid=E5E53C81AEB35E6C&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=18