MPCACodes
所属分类:matlab编程
开发工具:matlab
文件大小:3254KB
下载次数:121
上传日期:2011-03-30 17:02:07
上 传 者:
ren_fan
说明: 多线性主成分分析的MATLAB源代码
最初用于人脸识别和步态识别
后被扩展到其他应用领域
(The codes implement two algorithms: Multilinear Principal Component Analysis (MPCA) and MPCA+LDA.)
文件列表:
MPCACodes (0, 2011-03-12)
MPCACodes\FERETC80A45.mat (240059, 2008-06-24)
MPCACodes\MPCA.m (11273, 2011-03-12)
MPCACodes\MPCALDA.m (11029, 2011-03-12)
MPCACodes\MPCApublications.bib (2362, 2011-03-12)
MPCACodes\MPCA_TNN08Jan.pdf (1707669, 2008-02-28)
MPCACodes\SurveyMSL_PR2011.pdf (1421052, 2011-03-04)
MPCACodes\USF17Gal.mat (284583, 2007-12-11)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Matlab source codes for %
% Multilinear Principal Component Analysis (MPCA) %
% %
% Author: Haiping LU %
% Email : hplu@ieee.org or eehplu@gmail.com %
% Release date: March 12, 2011 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%[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.
[Example usage on 2D data is included]
[Recommendation on parameter MPCADADim is updated]
3. March 12, 2011: Version 1.2 is released.
[Minor change to code: insertion of line 275 to MPCALDA.m]
[Since the publication of MPCA, several extensions have been developed. Therefore,
in this update, we include a survey paper "SurveyMSL_PR2011.pdf" and a BibTeX file
"MPCApublications.bib" for user convenience]
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