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Uncorrelated Multilinear Principal Component Analysis (UMPCA)

version 1.0.0.0 (7.9 MB) by Haiping Lu
The codes implement the Uncorrelated Multilinear Principal Component Analysis (UMPCA) algorithm.

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Updated 02 Mar 2012

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Matlab source codes for Uncorrelated Multilinear Principal Component Analysis (UMPCA)

%[Algorithm]%

The matlab codes provided here implement the UMPCA algorithm presented in the
paper "UMPCA_TNN09.pdf" included in this package:

Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulos,
"Uncorrelated Multilinear Principal Component Analysis for Unsupervised
Multilinear Subspace Learning",
IEEE Transactions on Neural Networks,
Vol. 20, No. 11, Page: 1820-1836, Nov. 2009.

"maxeig.m" (by Todd K. Moon) is a function used by "UMPCA.m' to get the leading
eigenvector.
---------------------------

%[Usages]%

Please refer to the comments in the codes for example usage on 2D data
"FERETC70A15S8_80x80" in the directory "FERETC70A15S8", which is used in the
paper above. Various partitions used in the paper are included in the directory
"FERETC70A15S8" for L=1 to 7.

Directory "USFGait17_32x22x10" contains the gait data used in the paper above.
---------------------------

%[Toolbox needed]%:

This code needs the tensor toolbox available at
http://csmr.ca.sandia.gov/~tgkolda/TensorToolbox/
This package includes tensor toolbox version 2.1 for convenience.
---------------------------

%[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,
"Uncorrelated Multilinear Principal Component Analysis for Unsupervised
Multilinear Subspace Learning",
IEEE Transactions on Neural Networks,
Vol. 20, No. 11, pp. 1820-1836, Nov. 2009.
---------------------------

%[Additional Resources]%

The BibTeX file "MPCApublications.bib" contains the BibTex for UMPCA and
related works. The included survey paper "SurveyMSL_PR2011.pdf" discusses the
relations between UMPCA and related works.

Comments and Ratings (2)

Yinming Guo

QIQUAN

QIQUAN (view profile)

MATLAB Release Compatibility
Created with R2006a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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