%0 Journal Article
%T New face recognition algorithm based on nonlinear dimensionality reduction<br>基于非线性降维的人脸识别新算法
%A TU Teng-tao
%A GU Si-yang
%A <br>涂腾涛
%A 顾嗣扬
%J 计算机应用
%D 2008
%I 
%X A new supervised kernel subspace method for face recognition was proposed. It makes a better use of samples' label information by introducing supervision in the construction of local neighborhood so as to improve the recognition efficiency; and a positive regularization was added in the gaining of the optimal reconstruction weight matrix to make it insensitive to the noise. In experimental phase, the AT&T and Yale face databases were used to test this algorithm by using the Nearest Neighborhood (NN) algorit...
%K kernel neighborhood preserving projection (KNPP)
%K nonlinear dimensionality reduction
%K face recognition
%K subspace learning<br>核邻域保持投影
%K 非线性降维
%K 人脸识别
%K 子空间学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=AE47C0E2BB99550D16A03D7D646A45E7&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=5D311CA918CA9A03&sid=AA2DEEB9912F5067&eid=D9AB0F6064BF4261&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=12