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    JMLR
    2010
    367views more  JMLR 2010»
    Locally Linear Denoising on Image Manifolds
    13 years 2 months ago
    Locally Linear Denoising on Image Manifolds
    Download  www-rcf.usc.edu
    We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
    Dian Gong, Fei Sha, Gérard G. Medioni
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    JCC
    2002
    73views more  JCC 2002»
    Linear scaling approaches to quantum macromolecular similarity: Evaluating the similarity function
    13 years 7 months ago
    Linear scaling approaches to quantum macromolecular similarity: Evaluating the similarity function
    Download  www.molspaces.com
    : The evaluation of the electron density based similarity function scales quadratically with respect to the size of the molecules for simplified, atomic shell densities. Due to the...
    Pere Constans
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    ICDE
    2008
    IEEE
    158views Database» more  ICDE 2008»
    CARE: Finding Local Linear Correlations in High Dimensional Data
    14 years 8 months ago
    CARE: Finding Local Linear Correlations in High Dimensional Data
    Download  www.cs.unc.edu
    Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
    Xiang Zhang, Feng Pan, Wei Wang
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    BMCBI
    2006
    103views more  BMCBI 2006»
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    13 years 7 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    Download  www.biomedcentral.com
    Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
    Sébastien Lemieux
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
    13 years 7 months ago
    Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
    Download  www.biomedcentral.com
    Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
    Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
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