@inproceedings{a9d70fa77df04b52b4d9b4b49fcd8eb1,
title = "Kernel subspace LDA with optimized kernel parameters on face recognition",
abstract = "This paper addresses the problem of selection of Kernel parameters in Kernel Fisher Discriminant for face recognition. We propose a new criterion and derive a new formation in optimizing the parameters in RBF kernel based on the gradient descent algorithm. The proposed formulation is further integrated into a subspace LDA algorithm and a new face recognition algorithm is developed. FERET database is used for evaluation. Comparing with the existing Kernel LDA-based methods with kernel parameter selected by experiment manually, the results are encouraging.",
author = "Jian Huang and Yuen, {Pong Chi} and Chen, {Wen Sheng} and Lai, {J. H.}",
note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 ; Conference date: 17-05-2004 Through 19-05-2004",
year = "2004",
language = "English",
isbn = "0769521223",
series = "Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition",
pages = "327--332",
booktitle = "Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004",
}