%0 Journal Article
%T Moving target classification using SVM probability and post-filtering<br>基于SVM输出概率和后置滤波的运动目标分类*
%A LI Zhan-chuang
%A XIAO Guo-qiang
%A DAI Yi
%A QIU Kai-jin
%A <br>李占闯
%A 肖国强
%A 代毅
%A 邱开金
%J 计算机应用研究
%D 2010
%I 
%X This paper presented a new method to classify moving targets,in which the outputs of standard SVMs could be mapped directly into target category's posterior probabilities by the sigmoid function.Furthermore,also put forward a post-filtering framework to improve classification accuracy,using a weighted average filter to smooth the initial outputs of SVM classifiers.Experimental results demonstrate that the framework of SVM probability outputs combined with a post-filter is more effective for moving target cl...
%K SVM(support vector machine)
%K posterior probability
%K average-filtering
%K moving target classification<br>支持向量机
%K 后验概率
%K 均值滤波
%K 运动目标分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1FB8FB02902F6C23F68DB5E298B08FF6&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=0358FC3DBCE8E14D&eid=5E191A234CD3698F&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9