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ICB
2009
Springer

A Random Network Ensemble for Face Recognition

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A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training set. In order to reduce the correlation within the network ensemble using a single type of feature extractor and classifier, localized random facial features have been constructed together with internally randomized networks. The ensemble classifier is finally constructed by combining these multiple networks via a sum rule. The proposed method is shown to have a better accu
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where ICB
Authors Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
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