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    ICML
    2006
    IEEE
    174views Machine Learning» more  ICML 2006»
    Combined central and subspace clustering for computer vision applications
    16 years 3 months ago
    Combined central and subspace clustering for computer vision applications
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    Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
    Le Lu, René Vidal
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    78
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    CLUSTER
    2009
    IEEE
    133views Distributed And Parallel Com...» more  CLUSTER 2009»
    Increasing the availability provided by RADIC with low overhead
    15 years 9 months ago
    Increasing the availability provided by RADIC with low overhead
    Download  www.cluster2009.org
    Guna Santos, Leonardo Fialho, Dolores Rexachs, Emi...
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    80
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    CLUSTER
    2009
    IEEE
    114views Distributed And Parallel Com...» more  CLUSTER 2009»
    Using clouds for metagenomics: A case study
    15 years 9 months ago
    Using clouds for metagenomics: A case study
    Download  www.cluster2009.org
    Jared Wilkening, Andreas Wilke, Narayan Desai, Fol...
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    75
    Voted
    CLUSTER
    2009
    IEEE
    93views Distributed And Parallel Com...» more  CLUSTER 2009»
    An efficient hardware-software approach to network fault tolerance with InfiniBand
    15 years 9 months ago
    An efficient hardware-software approach to network fault tolerance with InfiniBand
    Download  www.cluster2009.org
    Abhinav Vishnu, Manojkumar Krishnan, Dhabaleswar K...
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    92
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    CLUSTER
    2009
    IEEE
    151views Distributed And Parallel Com...» more  CLUSTER 2009»
    An application based MPI message throughput benchmark
    15 years 9 months ago
    An application based MPI message throughput benchmark
    Download  www.cluster2009.org
    Brian W. Barrett, K. Scott Hemmert
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