%0 Journal Article
%T Weighted GPLVM Algorithm Based on Discriminant Features<br>基于判别特征加权的GPLVM算法
%A WANG Xiu-mei
%A GAO Xin-bo
%A <br>王秀美
%A 高新波
%J 计算机科学
%D 2009
%I 
%X Gaussian process latent variable model (GPLVM) is a popular manifold method recently proposed for dimensional reduction.However it cannot keep some class structure of datasets for it is an unsupervised learning method.A weighted GPLVM algorithm will be given using the discriminant features.This algorithm can approve an discrimiant results and keep good manifold in each class.
%K Gaussian process latent variable model
%K Factor analysis
%K Probabilistic principal component analysis
%K Local Fisher discriminant analysis<br>高斯过程隐变量模型
%K 因子分析
%K 概率主成分分析
%K 局部Fisher判别分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=0817EBBF26E25B751D5740721533E563&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=38B194292C032A66&sid=3A0155B37D8FF829&eid=C29816B2656377A7&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11