MPCASourceCode
所属分类:matlab编程
开发工具:matlab
文件大小:2025KB
下载次数:62
上传日期:2009-10-07 01:18:35
上 传 者:
wuteva
说明: The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.
文件列表:
MPCASourceCode\FERETC80A45.mat (240059, 2008-06-24)
MPCASourceCode\MPCA.m (11029, 2008-06-24)
MPCASourceCode\MPCALDA.m (10884, 2008-06-24)
MPCASourceCode\MPCA_TNN08Jan.pdf (1707669, 2008-02-27)
MPCASourceCode\USF17Gal.mat (284583, 2007-12-10)
MPCASourceCode (0, 2009-10-07)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Matlab source codes for %
% Multilinear Principal Component Analysis (MPCA) %
% %
% Author: Haiping LU %
% Email : hplu@ieee.org or eehplu@gmail.com %
% Affiliation: Department of Electrical and Computer Engineering %
% University of Toronto %
% Release date: June 24, 2008 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%[Algorithms]%
The matlab codes provided here implement two algorithms presented in the
paper "MPCA_TNN08Jan.pdf" included in this package:
Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulos,
"MPCA: Multilinear Principal Component Analysis of Tensor Objects",
IEEE Transactions on Neural Networks,
Vol. 19, No. 1, Page: 18-39, January 2008.
Algorithm 1: "MPCA.m" implements the MPCA algorithm described in this paper
Algorithm 2: "MPCALDA.m" implements the MPCA+LDA algorithm in this paper
%[Usages]%
Please refer to the comments in the codes, which include example usage on
2D data and 3D data below:
FERETC80A45.mat: 320 faces (32x32) of 80 subjects (4 samples per class) from
the FERET database
USF17Gal.mat: 731 gait samples (32x22x10) of 71 subjects from the gallery
set of the USF gait challenge data sets version 1.7
%[Restriction]%
In all documents and papers reporting research work that uses the matlab codes
provided here, the respective author(s) must reference the following paper:
[1] Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulos,
"MPCA: Multilinear Principal Component Analysis of Tensor Objects",
IEEE Transactions on Neural Networks,
Vol. 19, No. 1, Page: 18-39, January 2008.
%[Comment/Question?]%
Please send your comment (e.g., ways to improve the codes) or question (e.g.,
difficulty in using the codes) to hplu@ieee.org or eehplu@gmail.com
%[Update history]%
1. March 1, 2008: Version 1.0 is released.
2. June 24, 2008: Version 1.1 is released.
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