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    » Methods for merging Gaussian mixture components
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    MICCAI
    2005
    Springer
    149views Medical Imaging» more  MICCAI 2005»
    Tissue Classification of Noisy MR Brain Images Using Constrained GMM
    14 years 8 months ago
    Tissue Classification of Noisy MR Brain Images Using Constrained GMM
    Download  www.eng.tau.ac.il
    We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
    Amit Ruf, Hayit Greenspan, Jacob Goldberger
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    ICMLA
    2008
    138views Machine Learning» more  ICMLA 2008»
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    13 years 9 months ago
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    Download  hal.archives-ouvertes.fr
    Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
    Etienne Côme, Zohra Leila Cherfi, Latifa Ouk...
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    BMCBI
    2007
    219views more  BMCBI 2007»
    MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
    13 years 7 months ago
    MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
    Download  www.biomedcentral.com
    Background: Integration of multiple results from Quantitative Trait Loci (QTL) studies is a key point to understand the genetic determinism of complex traits. Up to now many effor...
    Jean-Baptiste Veyrieras, Bruno Goffinet, Alain Cha...
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    ISBI
    2004
    IEEE
    240views Medical Imaging» more  ISBI 2004»
    Probabilistic ICA for fMRI
    14 years 8 months ago
    Probabilistic ICA for fMRI
    Download  www.kecl.ntt.co.jp
    Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
    Christian Beckmann
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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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