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| Subspace Label Propagation and Regularized Discriminant Analysis Based Single Labeled Image Person Face Recognition |
| Yin Fei Jiao Li-cheng Yang Shu-yuan |
| Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an 710071, China |
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Abstract To tackle the problem of single labeled image person face recognition, a subspace label propagation and regularized discriminant analysis based semi-supervised dimensionality reduction method is proposed in this paper. First, a label propagation method based on subspace assumption is designed to propagate the label information from labeled data to unlabeled data. Then, based on the propagated labeled dataset, regularized discriminant analysis is used to conduct dimensionality reduction. Finally, the recognition of testing face is completed in low dimensional space using nearest neighbor classifier. The extensive experiments on three publicly available face databases CMU PIE, Extended Yale B, and AR validate the feasibility and effectiveness of the proposed method.
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Received: 24 April 2013
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Corresponding Authors:
Yin Fei
E-mail: yinfei701@163.com
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2014, Vol. 36 
