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

• Type: Conference
• Year: 2009
• Where: ICB
• Authors: Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
• Keywords: Face Recognition Problem, ICB 2009, Network Ensemble, Random Network Ensemble