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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Face Recognition Based on Adaptive Kernel Logistic Regression
verfasst von : Ziqiang Wang, Xia Sun
Erschienen in: Advances in Future Computer and Control Systems
Verlag: Springer Berlin Heidelberg
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Face recognition is a fundamental problem in many image processing tasks. Discriminating feature extraction and classifier selection are two key issues for face recognition approach. To effectively cope with the above two problems, a novel face recognition algorithm is proposed by using locality preserving projection and manifold adaptive kernel logistic regression. The experimental results on two face image data sets show that the proposed algorithm performs much better than the other popular face recognition algorithms in terms of recognition accuracy.