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

Asger Nyman Christiansen, Jens Michael Carstensen

    Research output: Contribution to conferencePosterResearch

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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 languageEnglish
    Publication date2011
    Publication statusPublished - 2011
    EventVisionday 2010: Industrial - DTU, Kgs. Lyngby, Denmark
    Duration: 25 May 201028 May 2010

    Conference

    ConferenceVisionday 2010: Industrial
    LocationDTU
    CountryDenmark
    CityKgs. Lyngby
    Period25/05/201028/05/2010

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