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    AAAI
    2000
    92views Intelligent Agents» more  AAAI 2000»
    Modeling High-Dimensional Data by Combining Simple Experts
    14 years 11 months ago
    Modeling High-Dimensional Data by Combining Simple Experts
    Download  www.aaai.org
    Geoffrey E. Hinton
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    NIPS
    1998
    74views Information Technology» more  NIPS 1998»
    Restructuring Sparse High Dimensional Data for Effective Retrieval
    14 years 11 months ago
    Restructuring Sparse High Dimensional Data for Effective Retrieval
    Download  www.cs.rutgers.edu
    The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, docu...
    Charles Lee Isbell Jr., Paul A. Viola
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    CVPR
    2010
    IEEE
    234views Computer Vision» more  CVPR 2010»
    Unsupervised discovery of co-occurrence in sparse high dimensional data
    14 years 9 months ago
    Unsupervised discovery of co-occurrence in sparse high dimensional data
    Download  cmp.felk.cvut.cz
    Ondrej Chum, Jiri Matas
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    BMCBI
    2008
    95views more  BMCBI 2008»
    CMA - a comprehensive Bioconductor package for supervised classification with high dimensional data
    14 years 9 months ago
    CMA - a comprehensive Bioconductor package for supervised classification with high dimensional data
    Download  epub.ub.uni-muenchen.de
    Martin Slawski, Martin Daumer, Anne-Laure Bouleste...
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    51
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    CORR
    2010
    Springer
    64views Education» more  CORR 2010»
    High-Dimensional Matched Subspace Detection When Data are Missing
    14 years 9 months ago
    High-Dimensional Matched Subspace Detection When Data are Missing
    Download  pages.cs.wisc.edu
    We consider the problem of deciding whether a highly incomplete signal lies within a given subspace. This problem, Matched Subspace Detection, is a classical, wellstudied problem w...
    Laura Balzano, Benjamin Recht, Robert Nowak
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