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    BIBE
    2009
    IEEE
    131views Bioinformatics» more  BIBE 2009»
    Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
    13 years 11 months ago
    Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
    Download  eshare.stut.edu.tw
    —The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
    Zong-Xian Yin
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    BMVC
    2010
    245views Computer Vision» more  BMVC 2010»
    Back to the Future: Learning Shape Models from 3D CAD Data
    13 years 5 months ago
    Back to the Future: Learning Shape Models from 3D CAD Data
    Download  www.gris.informatik.tu-darmstadt.de
    Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
    Michael Stark, Michael Goesele, Bernt Schiele
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    SC
    2009
    ACM
    274views Applied Computing» more  SC 2009»
    Lessons learned from a year's worth of benchmarks of large data clouds
    14 years 2 months ago
    Lessons learned from a year's worth of benchmarks of large data clouds
    Download  dsl.cs.uchicago.edu
    In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
    Yunhong Gu, Robert L. Grossman
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    IJCAI
    2007
    223views Artificial Intelligence» more  IJCAI 2007»
    Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
    13 years 9 months ago
    Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
    Download  ijcai.org
    Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
    Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 7 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Download  www.biomedcentral.com
    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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