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Conference paper

Kernel based pattern analysis methods using eigen-decompositions for reading Icelandic sagas

From

Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark1

Department of Informatics and Mathematical Modeling, Technical University of Denmark2

We want to test the applicability of kernel based eigen-decomposition methods, compared to the traditional eigen-decomposition methods. We have implemented and tested three kernel based methods methods, namely PCA, MAF and MNF, all using a Gaussian kernel. We tested the methods on a multispectral image of a page in the book 'hauksbok', which contains Icelandic sagas.

Language: English
Year: 2011
Proceedings: Visionday 2010: Industrial
Types: Conference paper
ORCIDs: Carstensen, Jens Michael

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