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Dimensionality Reduction with Image Data

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Research , Article , Preprint 01 Jan 2004Publisher:Springer Berlin Heidelberg

Authors: Peña, Daniel; Benito, Mónica;

doi: 10.1007/978-3-540-28651-6_48

handle: 10016/207

Dimensionality Reduction with Image Data

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Abstract

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.

Related Organizations

Carlos III University of Madrid
Spain

Keywords

Estadística

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average