RLDA
所属分类:matlab编程
开发工具:matlab
文件大小:629KB
下载次数:190
上传日期:2007-01-06 15:44:23
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adusq
说明: 用规则线性判别方法(RLDA)进行人脸识别的matlab源程序,及相关的参考文章。
(use regulations linear discriminant method (RLDA) face recognition Matlab source, and the relevant reference articles.)
文件列表:
RLDA\DF_LDA_TNN.pdf (483064, 2004-11-01)
RLDA\F_JDLDAPro.m (4991, 2006-09-05)
RLDA\LDA.m (5734, 2006-09-05)
RLDA\R_LDA_PRL.pdf (335890, 2004-10-29)
RLDA\test_RLDA.asv (2879, 2006-09-05)
RLDA\test_RLDA.m (2822, 2006-09-05)
RLDA\_desktop.ini (9, 2006-09-11)
RLDA (0, 2006-09-06)
*********************************************************************************
* Matlab source codes for the regularized linear discriminant analysis (R-LDA) *
* Author: Lu Juwei *
* Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto *
* Released in 01 November 2004 *
*********************************************************************************
The matlab functions implement the methods presented in the paper [DF_LDA_TNN.pdf]
Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition
Using LDA Based Algorithms", IEEE Transactions on Neural Networks, Vol. 14,
No. 1, Page: 195-200, January 2003.
and the paper [R_LDA_PRL.pdf] (An extension to the above TNN paper)
Juwei Lu, K.N. Plataniotis, A.N. Venetsanopoulos, “Regularization Studies
of Linear Discriminant Analysis in Small Sample Size Scenarios with
Application to Face Recognition”, Pattern Recognition Letter, vol. 26, issue 2,
pp. 181-191, 2005.
[Usages:]
1. To find the KDDA based feature representation with RBF kernel,
1.1. use function [DFLD_Trans]=F_JDLDAPro() to find the regularized LDA subspace.
1.2. given a sample, x, its projection (y) to the above subspace can be obtained
by y=DFLD_Trans*x.
[Note:]
The regularization parameter $eta$ in the function F_JDLDAPro() has an influence on
the classification performance. Try different values of $eta$ to find the best one.
[Restrictions:]
In all documents and papers that report on research that uses the matlab codes, the
researcher(s) must reference the following two papers:
[1] Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition
Using LDA Based Algorithms", IEEE Transactions on Neural Networks, Vol. 14,
No. 1, Page: 195-200, January 2003.
[2] Juwei Lu, K.N. Plataniotis, A.N. Venetsanopoulos, “Regularization Studies
of Linear Discriminant Analysis in Small Sample Size Scenarios with
Application to Face Recognition”, Pattern Recognition Letter, vol. 26, issue 2,
pp. 181-191, 2005.
Any comments and questions can be sent to juwei@dsp.utoronto.ca.
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