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IDEAL
2004
Springer

Dimensionality Reduction with Image Data

13 years 9 months ago
Dimensionality Reduction with Image Data
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We propose a new method based on the projection of the images as matrices after a Procrustes rotation and show that it leads to a better reconstruction of images.
Mónica Benito, Daniel Peña
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where IDEAL
Authors Mónica Benito, Daniel Peña
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