Experimenting on weighted PCA on Yale face database
The main idea is to find the principal components of the distribution of faces or the eigenvectors of the covariance matrix of the set of training images.
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sg-ntu-dr.10356-48992023-07-04T15:53:33Z Experimenting on weighted PCA on Yale face database Moe Thu Zar. Sung, Eric School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The main idea is to find the principal components of the distribution of faces or the eigenvectors of the covariance matrix of the set of training images. Master of Science (Computer Control and Automation) 2008-09-17T10:01:00Z 2008-09-17T10:01:00Z 2003 2003 Thesis http://hdl.handle.net/10356/4899 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Moe Thu Zar. Experimenting on weighted PCA on Yale face database |
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The main idea is to find the principal components of the distribution of faces or the eigenvectors of the covariance matrix of the set of training images. |
author2 |
Sung, Eric |
author_facet |
Sung, Eric Moe Thu Zar. |
format |
Theses and Dissertations |
author |
Moe Thu Zar. |
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Moe Thu Zar. |
title |
Experimenting on weighted PCA on Yale face database |
title_short |
Experimenting on weighted PCA on Yale face database |
title_full |
Experimenting on weighted PCA on Yale face database |
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Experimenting on weighted PCA on Yale face database |
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Experimenting on weighted PCA on Yale face database |
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experimenting on weighted pca on yale face database |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4899 |
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1772828616363606016 |