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    JCST
    2008
    140views more  JCST 2008»
    ROPAS: Cross-Layer Cognitive Architecture for Mobile UWB Networks
    13 years 10 months ago
    ROPAS: Cross-Layer Cognitive Architecture for Mobile UWB Networks
    Download  faculty.washington.edu
    The allocation of bandwidth to unlicensed users, without significantly increasing the interference on the existing licensed users, is a challenge for Ultra Wideband (UWB) networks....
    Chittabrata Ghosh, Bin Xie, Dharma P. Agrawal
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    CORR
    2007
    Springer
    202views Education» more  CORR 2007»
    Designing a Virtual Manikin Animation Framework Aimed at Virtual Prototyping
    13 years 10 months ago
    Designing a Virtual Manikin Animation Framework Aimed at Virtual Prototyping
    Download  www-list.cea.fr
    : In the industry, numerous commercial packages provide tools to introduce, and analyse human behaviour in the product's environment (for maintenance, ergonomics...), thanks t...
    Antoine Rennuit, Alain Micaelli, Claude Andriot, F...
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    CPHYSICS
    2007
    106views more  CPHYSICS 2007»
    The way towards thermonuclear fusion simulators
    13 years 10 months ago
    The way towards thermonuclear fusion simulators
    Download  ccp2006.postech.edu
    In parallel to the ITER project itself, many initiatives address complementary technological issues relevant to a fusion reactor, as well as many remaining scientific issues. One...
    A. Bécoulet, Per Strand, H. Wilson, M. Roma...
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    IVC
    2006
    227views more  IVC 2006»
    Automatic registration of overlapping 3D point clouds using closest points
    13 years 10 months ago
    Automatic registration of overlapping 3D point clouds using closest points
    Download  users.aber.ac.uk
    While the SoftAssign algorithm imposes a two-way constraint embedded into the deterministic annealing scheme and the EMICP algorithm imposes a one-way constraint, they represent t...
    Yonghuai Liu
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 10 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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