Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods

Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more appropriate for analysis. Many manifold learning and dimensionality reduction techniques are simply kernel methods for which th...

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Bibliographic Details

Published in:	2007 IEEE Conference on Computer Vision and Pattern Recognition pp. 1 - 8
Main Authors:	Arias, P., Randall, G., Sapiro, G.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2007
Subjects:	Algorithm design and analysis Data visualization Gaussian distribution Image denoising Joining processes Kernel Pattern recognition Principal component analysis Probability density function Shape
ISBN:	9781424411795, 1424411793
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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