Project details for Multilinear Principal Component Analysis 1.2

Logo Multilinear Principal Component Analysis 1.2 1.2

by openpr_nlpr - April 16, 2012, 09:04:08 CET [ Project Homepage BibTeX Download ]

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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


The code needs the tensor toolbox available at


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.

Changes to previous version:

Initial Announcement on

BibTeX Entry: Download
Supported Operating Systems: Linux, Windows
Data Formats: None
Tags: Dimensionality Reduction, Parallel, Pca, Feature Extraction, Principal Component Analysis, Prediction
Archive: download here


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