Code Directory
 Visual Basic & VB.NET
New Code
AnyChart JS Charts and Dashboards 8.2.0
GetOrgChart 2.4.8
Output Messenger 1.8.0
ODBC Driver for SQLite 2.3
Devart ODBC Driver for Oracle 2.3
PHPScriptsmall 1.0
Easy Button & Menu Maker 5.2
PHP Business Directory Script 1
ODBC Driver for Firebird 2.3
Event Booking Solutions v2.0b5
ODBC Driver for SQL Azure 2.3
Raduga 1.07.0010
ODBC Driver for SQL Server 2.3
Whatsapp Clone Script 1.0
Grubhub Script, Eat24hours Clone 2.0.1
Top Code
Probabilistic Data Association Filters (PDAF) - a tracking demo 1.0
Ticket Booking Software – PHP Scripts mall 1.0.2
Moving Star Field 1.1
Looking Glass 20030316
Bangla Numbers in Date and Time 0.5
Citisoft Buttons Pack 4.0
JavaScript Swing (JSS) 1.0
QR Code Tag 1.0
AnyChart JS Charts and Dashboards 8.2.0
CMS Admin 1.0
Restaurant Reservation System by StivaSoft 1.0
Analog clock (static)
Region Growing (2D/3D grayscale) 1.0
MATLAB Support Package for Arduino (aka ArduinoIO Package) 1.0
Aspose.Cells for Reporting Services
Top Rated
Output Messenger 1.8.0
Aliexpress Clone- Ec21 Script 1
Indiegogo Clone 3.0
PHP Image Resize Script 1.0
Best Spotify Clone 1.0
Get Random Record Based on Weight 1.0.0
Travel Portal Script 9.29
Magento Product Designer 1.0
OFOS - Just Eat Clone Script 1.0
PrestaShop Upload Images Module 1.2.1
Trading Software 1.2.4
Deals and Discounts Website Script 1.0.2
Readymade MLM Products 2.01
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Multilinear Principal Component Analysis (MPCA) 1.0
File ID: 82098

Multilinear Principal Component Analysis (MPCA) 1.0
Download Multilinear Principal Component Analysis (MPCA) 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 3.2 MB
Downloads: 112
Submit Rating:
Multilinear Principal Component Analysis (MPCA) 1.0 Description
Description: Matlab source codes for Multilinear Principal Component Analysis (MPCA)

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

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.

License: Shareware

Related: Samples, subjects, 32x32, Class, feret, usf galmat, Database, Faces, feretc mat

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 3.2 MB

Downloads: 112

More Similar Code

Made a PCA block (principal component analysis) within Simulink. Block calculates the principle components on any sized input matrix.

Equivalent of the MATLAB PRINCOMP command (currently only outputs PC).

This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper,...

Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation called canonical discriminant analysis. It derives the canonical coefficients parallels that of one-way MANOVA and...

This is a generalized version of Principal Component Pursuit (PCP) where the sparsity is assumed in a transform domain and not in measurement domain. Moreover the samples obtained are lower dimensional projections.
y -...

A script containing the methods used to develop a principal components analysis in MATLAB is presented. The results are analyzed and plotted in different ways in order to interpret the information. The script is presented in Spanish and English....

Orthogonal Linear Regression in 3D-space by using Principal Components Analysis

This is a wrapper function to some pieces of the code from the Statistics Toolbox demo titled "Fitting an Orthogonal Regression Using Principal...

Do principal components analysis (PCA) on real-valued data.

Two methods are available: 'eig' and 'svd' which solve the problem by eigenvalue decomposition and singula value decomposition, respectively. Please note that 'svd' is running...

Connected component analysis on undirected graphs, with thresholding and connectivity constraints.
Tristan Ursell, (c) 2012
Connected component analysis on an undirected graph, with various
thresholding and connectivity...

This m-file give you the Nipals algorithm to realize a Principal Components Analysis for statistical study. I realize this program specifically with an aim of analysis spectroscopic data. Use 'help' for description

This m-file deals with the principal component solution of the factor model thru the complete data matrix, the latent root criterion, and uses the varimax factor rotation. Optionally, it also gives the residual matrix, which results of the...

User Review for Multilinear Principal Component Analysis (MPCA)
- required fields

Please enter text on the image