%0 Journal Article
%T An Improved Image Retrieval Approach Based on Support Vector Machine<br>一种改进的SVM相关反馈图像检索方法
%A HU Ying
%A WANG Yu
%A DING Ming-yue
%A ZHOU Cheng-ping
%A <br>胡莹
%A 王昱
%A 丁明跃
%A 周成平 
%J 计算机应用研究
%D 2005
%I 
%X Developed a improve image retrieval approach based on SVM. During the interactive procedure, the positive and negative sample images respect to the image marked by users both in current circulation and in the historical circulation are learned for constructing a SVM classifier, with which we classify the database images again. Experiments demonstrated that more relevant can be found efficiently by the interactive method with a number of procedure even when the number of the samples in each circulation is a little. In addition, it has the generalization ability of limited training samples.
%K Support Vector Machine(SVM)
%K Statistical Learning Theory(SLT)
%K Machine Learning
%K Image Retrieval<br>支持向量机
%K 统计学习理论
%K 机器学习
%K 图像检索
%K 
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D35BBB3AC45DD7AA&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=CA4FD0336C81A37A&sid=4B1FFFA116F7AE3B&eid=01622E3E475F966C&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=17