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

Asger Nyman Christiansen; Jens Michael Carstensen

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

Asger Nyman Christiansen, Jens Michael Carstensen

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Abstract

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.

Original language	English
Publication date	2011
Publication status	Published - 2011
Event	Visionday 2010: Industrial - DTU, Kgs. Lyngby, Denmark Duration: 25 May 2010 → 28 May 2010

Conference

Conference	Visionday 2010: Industrial
Location	DTU
Country/Territory	Denmark
City	Kgs. Lyngby
Period	25/05/2010 → 28/05/2010

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title = "Kernel based pattern analysis methods using eigen-decompositions for reading Icelandic sagas",

abstract = "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.",

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AU - Christiansen, Asger Nyman

AU - Carstensen, Jens Michael

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AB - 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.

M3 - Poster

T2 - Visionday 2010: Industrial

Y2 - 25 May 2010 through 28 May 2010

ER -

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

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