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    SIGMOD
    2005
    ACM
    128views Database» more  SIGMOD 2005»
    Deriving Private Information from Randomized Data
    14 years 8 months ago
    Deriving Private Information from Randomized Data
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    Randomization has emerged as a useful technique for data disguising in privacy-preserving data mining. Its privacy properties have been studied in a number of papers. Kargupta et ...
    Zhengli Huang, Wenliang Du, Biao Chen
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    BMCBI
    2010
    243views more  BMCBI 2010»
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    13 years 8 months ago
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    Download  www.biomedcentral.com
    Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
    Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
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    BMCBI
    2008
    86views more  BMCBI 2008»
    Piecewise multivariate modelling of sequential metabolic profiling data
    13 years 8 months ago
    Piecewise multivariate modelling of sequential metabolic profiling data
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    Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...
    Mattias Rantalainen, Olivier Cloarec, Timothy M. D...
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    CVPR
    2011
    IEEE
    425views Computer Vision» more  CVPR 2011»
    Accelerated Low-Rank Visual Recovery by Random Projection
    13 years 4 months ago
    Accelerated Low-Rank Visual Recovery by Random Projection
    Download  www.lv-nus.org
    Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
    Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
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    BMCBI
    2006
    211views more  BMCBI 2006»
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
    13 years 8 months ago
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
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    Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
    Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
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