%0 Journal Article
%T New method of non-negative matrix factorization combined with Isomap for image retrieval<br>NMF和Isomap相结合的图像检索新方法*
%A LIU Ting-ting
%A YAN De-qin
%A ZHENG Hong-liang
%A <br>刘婷婷
%A 闫德勤
%A 郑宏亮
%J 计算机应用研究
%D 2011
%I 
%X The Non-negative Matrix Factorization is a local data mining method which can extract the local feature of a image, it can describe the relevant image distribution on the space of base matrix. But NMF neglects the inner geometric structure of data. In this paper a new method which integrates NMF and non-linear dimensionality reduction Isomap is proposed. The global dimensionality reduction method can discover the inner structure and relativity of the data, it makes the high dimension data visualization on lower space In image retrieval experiment, the method can obtain information more precise and improve the accuracy of retrieval.
%K NMF
%K Data dimension reduction
%K Isomap
%K Image retrieval<br>非负矩阵分解
%K 数据降维
%K 多维尺度分析
%K 图像检索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F6BE961EC4EB2E2D1B1929E6D74997D5&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=594861585BE7463E&eid=A9EFBBF939E57466&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10