%0 Journal Article
%T Face recognition based on ensemble PCA<br>基于集成主成分分析的人脸识别
%A WANG Zheng-qun
%A ZOU Jun
%A LIU Feng
%A <br>王正群
%A 邹军
%A 刘风
%J 计算机应用
%D 2008
%I 
%X A classifiers ensemble approach based on Principal Component Analysis (PCA) was proposed. Lots of original classifiers were got from Random Subspace Method (RSM). According to their classification performance, their preservation scores were given, so the preferential ranks for classifiers preservation were ordered, by which a set of classifiers was selected from original classifiers. Theoretic analysis and experimental results in face database ORL show that this pattern classification method based on ensemble PCA is efficient for pattern recognition.
%K face recognition
%K dimension reduction
%K principal component analysis
%K classifiers ensemble<br>维数约简
%K 主成分分析
%K 分类器集成
%K 人脸识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=958AB55C5C3EEA8518D5D205679F94D2&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=2B5DE8A23DCEED39&eid=BBDF544662E044FA&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=5