Efficiently downdating, composing and splitting singular value decompositions preserving the mean information

Javier Melenchón, Elisa Martínez

    Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

    5 Cites (Scopus)

    Resum

    Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the mean information and providing exact results. Although these methods are presented in the context of computer vision, they can be used in any field forgetting information, combining different eigenspaces in one or ignoring particular dimensions of the column space of the data. Application examples on face subspace learning and latent semantic analysis are given and performance results are provided.

    Idioma originalAnglès
    Títol de la publicacióPattern Recognition and Image Analysis - Third Iberian Conference, IbPRIA 2007, Proceedings
    EditorSpringer Verlag
    Pàgines436-443
    Nombre de pàgines8
    EdicióPART 2
    ISBN (imprès)9783540728481
    DOIs
    Estat de la publicacióPublicada - 2007
    Esdeveniment3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007 - Girona, Spain
    Durada: 6 de juny 20078 de juny 2007

    Sèrie de publicacions

    NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NombrePART 2
    Volum4478 LNCS
    ISSN (imprès)0302-9743
    ISSN (electrònic)1611-3349

    Conferència

    Conferència3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007
    País/TerritoriSpain
    CiutatGirona
    Període6/06/078/06/07

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