%0 Journal Article
%T A Novel Algorithm Solving Fisher Optimal Discriminant Vector and Facial Recognition<br>一种求解Fisher最佳鉴别矢量的新算法及人脸识别
%A Guo Yuefei
%A Huang Xiouwu
%A Yang Jingyu
%A <br>郭跃飞
%A 黄修武
%J 中国图象图形学报
%D 1999
%I 
%X Fisher optimal discriminant vectors method is an effective method in pattern analysis of high dimension. When the number of the training samples is small compared with the dimensionality of the feature space, the problem becomes the case of a small number of samples. People have proposed many methods for solving the problem of a small number of samples, and made great progress. However, none of the previous methods can obtain the optimal solution when within-class distance equals zero. This point is illustrated in terms of theory, and a new solving method that can obtain the optimal solution in any situations is presented in this paper. The experimental result confirms our inference.
%K Pattern analysis
%K Facial recognition
%K Optimal discriminant vectou
%K Minimum distance classifier<br>模式分析
%K 人脸识别
%K 最佳鉴别矢量
%K 小样本
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=48A44634809F86CDEDFDF9F087B46966&yid=B914830F5B1D1078&vid=E158A972A605785F&iid=0B39A22176CE99FB&sid=C36EC077A8A90308&eid=10F298ED9F164662&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=4&reference_num=2