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    ICDE
    2008
    IEEE
    150views Database» more  ICDE 2008»
    On the Anonymization of Sparse High-Dimensional Data
    14 years 6 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
    13 years 6 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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    ICONIP
    2007
    139views Information Technology» more  ICONIP 2007»
    Principal Component Analysis for Sparse High-Dimensional Data
    13 years 6 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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    NIPS
    1998
    74views Information Technology» more  NIPS 1998»
    Restructuring Sparse High Dimensional Data for Effective Retrieval
    13 years 6 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
    13 years 5 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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