%0 Journal Article
%T Study of Video Semantic-concept Classifier with Multi-normal Distribution Attribute<br>具有多峰正态分布属性的视频语义分类研究
%A WEI Wei
%A XUE Jian
%A LIU Feng-Yu
%A XU Man-Wu
%A <br>魏维
%A 徐建
%A 刘凤玉
%A 许满武
%J 计算机科学
%D 2006
%I 
%X Attributes with multi-normal distribution are common in classifier design for video-semantic concept.In this case,a model assuming that the value of attributes for each class is normally distributed with some mean will lead to poor classification performance.In the paper,an approach based on fixed-length combination partition algorithm(FLC- PA)is presented in the partition of attribute value-field.Leave-one-out cross-validation(LOOCV)is used to estimate classifier error.In addition,the detail of classifier design about multi-normality distribution attribute is given.The re- suit of experiment indicate the method could reduce classifier error and improve classifier performance.
%K Bayesian classifier
%K Multi normal distribution
%K Semantic-based video classifier
%K LOOCV
%K Class-conditionaldensity function<br>贝叶斯分类器
%K 多峰正态分布属性
%K 视频语义分类
%K 留一校验
%K 类条件概率密度函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=7B97487EED9499FD&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=E158A972A605785F&sid=480C51B1F0CE0AB6&eid=DDD31293A7C7D057&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11