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    SLIP
    2003
    ACM
    60views Computer Networks» more  SLIP 2003»
    Prediction of interconnect pattern density distribution: derivation, validation, and applications
    15 years 5 months ago
    Prediction of interconnect pattern density distribution: derivation, validation, and applications
    Download  www.sliponline.org
    Payman Zarkesh-Ha, Ken Doniger, William Loh, Peter...
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    103
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    ACL
    2012
    211views Computational Linguistics» more  ACL 2012»
    Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
    13 years 2 months ago
    Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
    Download  www.cs.cmu.edu
    With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
    Patrick Simianer, Stefan Riezler, Chris Dyer
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    IPPS
    2009
    IEEE
    98views Distributed And Parallel Com...» more  IPPS 2009»
    Folding@home: Lessons from eight years of volunteer distributed computing
    15 years 7 months ago
    Folding@home: Lessons from eight years of volunteer distributed computing
    Download  www.hicomb.org
    Adam L. Beberg, Daniel L. Ensign, Guha Jayachandra...
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    94
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    IPPS
    2007
    IEEE
    139views Distributed And Parallel Com...» more  IPPS 2007»
    A Semi-Distributed Axiomatic Game Theoretical Mechanism for Replicating Data Objects in Large Distributed Computing Systems
    15 years 6 months ago
    A Semi-Distributed Axiomatic Game Theoretical Mechanism for Replicating Data Objects in Large Distributed Computing Systems
    Download  www.cecs.uci.edu
    Replicating data objects onto servers across a system can alleviate access delays. The selection of data objects and servers requires solving a constraint optimization problem, wh...
    Samee Ullah Khan, Ishfaq Ahmad
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    CVPR
    2008
    IEEE
    213views Computer Vision» more  CVPR 2008»
    Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
    16 years 2 months ago
    Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
    Download  vision.gel.ulaval.ca
    In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
    André Zaccarin, Nicolas Martel-Brisson
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