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Journal of Computers EIMEDLINEScopus

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篇名 A New Extended Classifier to the NNC for Face Recognition
卷期 30:4
作者 Jingyuan ZengJianghong GuoXiansheng WangTiansheng Hong
頁次 045-056
關鍵字 face recognitionleast square problemnearest neighbor classifierskinny QRdecompositionEIMEDLINEScopus
出刊日期 201908
DOI 10.3966/199115992019083004004

中文摘要

英文摘要

In this paper, we propose a novel classifier which is based on subspaces of each class of training samples. This method has the following basic idea: the training samples among different classes are uncorrelated, but the distance between the test sample and the training samples in one class should be taking into account all training samples in this class. Compared with other methods, the contribution of this paper is that we use the skinny QR-decomposition for L small least square problems. From our analysis, we can find that our method is equivalent to the nearest neighbor classifier (NNC) when the training sample in any class is one. A large number of face recognition experiments on two face image databases show that our method can work efficiently and effectively.

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