%0 Journal Article
%T l1 Norm Nearest Neighbor Convex Hull Classifier for Face Recognition<br>l1范数最近邻凸包分类器在人脸识别中的应用
%A ZHOU Xiao-Fei
%A JIANG Wen-Han
%A YANG Jing-Yu
%A <br>周晓飞
%A 姜文瀚
%A 杨静宇
%J 计算机科学
%D 2007
%I 
%X As an important distance measure, l1 norm is widely used in pattern classification. In general, under different distance measure definition, the classifiers with same mechanism will have different performances. In this paper, a face recognition algorithm based on l1 norm nearest neighbor convex hull classifier (l1 NNCH)is presented. The classifier replaces the l2 norm of Nearest Neighbor Convex Hull algorithm with l1 norm. The l1 distance from a test point to the convex hull of a class training set is taken as the similarity measurement of nearest neighbor rule. The experiments on the ORL face database show the good performances of l1 NNCH.
%K Face recognition
%K Nearest neighbor convex hull
%K l1 norm
%K Classification<br>人脸识别
%K 最近邻凸包
%K l1范数
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1E8759907DE6547816FE2294CE8BECA2&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=E158A972A605785F&sid=D9AE183D3F5C3C75&eid=6CCE24D86D03D083&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=9