%0 Journal Article
%T Applications of Support Vector Machines in Classification<br>支持向量机在分类中的应用
%A LU Bo
%A WEI Xun-kai
%A BI Du-yan
%A <br>陆波
%A 尉询楷
%A 毕笃彦
%J 中国图象图形学报
%D 2005
%I 
%X This paper introduces the theory and training algorithm of the support vector machine which is applied in nonlinear classification and recognition by the way of bringing in the concept such as structural risk minimization principle and optimal hyperplane,then a set of nonlinear binary samples are successfully classified by using different kernel functions,followed by discussion to the results.After that current multi-class classification algorithms and application areas are reviewed.Finally future developments are prospected.
%K support vector machine
%K optimal hyperplane
%K nonlinear classification
%K quadratic programming<br>支持向量机
%K 最优分类面
%K 非线性分类
%K 二次规划
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=99A0A2463F791DC4&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=5D311CA918CA9A03&sid=4827968D9758D8D0&eid=2418F98BB0851817&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=24