%0 Journal Article
%T New updating approach of dynamic weight for relevance feedback<br>一种新的动态权重更新相关反馈方法
%A WEN Li
%A SHI Yue-xiang
%A MO Hao-lan
%A <br>文立
%A 石跃祥
%A 莫浩澜
%J 计算机应用研究
%D 2007
%I 
%X This paper proposed an approach of updating corresponding weight by combining the proportion of relevant and irrelevant images, According the proportion, using the standard deviation adjusted the feature value. To avoid the state of suboptimal, a disturbing factor had been used to get the best feature weights. Experiments show the better result.
%K relevant feedback
%K weight
%K sub-optimal
%K disturbing factor<br>相关反馈
%K 权值
%K 局部最优
%K 干扰因子
%K 动态
%K 权重更新
%K 相关反馈
%K 方法
%K relevance
%K feedback
%K weight
%K dynamic
%K approach
%K 结果
%K 最优区域
%K 干扰因子
%K 最优状态
%K 局部
%K 权值调整
%K 对应
%K 结合
%K 差相
%K 标准
%K 特征值
%K 比例
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F646960EAFD0112BE1&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=35FC3610259C2B32&eid=06EA2770E96C5402&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=12