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Normalization and preimage problem in gaussian kernel PCA

9 years 5 months ago
Normalization and preimage problem in gaussian kernel PCA
Kernel PCA has received a lot of attention over the past years and showed usefull for many image processing problems. In this paper we analyse the issue of normalization in Kernel PCA for the pre-image problem. We present a geometric interpretation of the normalization process for the gaussian kernel. As a consequence, we could formulate a correct normalization criterion in centered feature space. Furthermore, we show how the proposed normalization criterion improves previous pre-image methods for the task of image denoising.
Florent Ségonne, Nicolas Thorstensen, Renau
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Florent Ségonne, Nicolas Thorstensen, Renaud Keriven
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