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    » On the Anonymization of Sparse High-Dimensional Data
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    ICDE
    2008
    IEEE
    150views Database» more  ICDE 2008»
    On the Anonymization of Sparse High-Dimensional Data
    15 years 11 months ago
    On the Anonymization of Sparse High-Dimensional Data
    Download  www.cse.cuhk.edu.hk
    Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
    Gabriel Ghinita, Yufei Tao, Panos Kalnis
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    NIPS
    2008
    230views Information Technology» more  NIPS 2008»
    Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
    14 years 11 months ago
    Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
    Download  engineering.purdue.edu
    Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
    Guangzhi Cao, Charles A. Bouman
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    82
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    ICONIP
    2007
    139views Information Technology» more  ICONIP 2007»
    Principal Component Analysis for Sparse High-Dimensional Data
    14 years 11 months ago
    Principal Component Analysis for Sparse High-Dimensional Data
    Download  www.cis.hut.fi
    Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
    Tapani Raiko, Alexander Ilin, Juha Karhunen
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    96
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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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