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    SASO
    2007
    IEEE
    114views Control Systems» more  SASO 2007»
    Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
    14 years 5 months ago
    Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
    Download  kepler.cs.uiuc.edu
    This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
    Steven Y. Ko, Indranil Gupta, Yookyung Jo
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    DAGSTUHL
    2007
    178views Software Engineering» more  DAGSTUHL 2007»
    Programming self developing blob machines for spatial computing.
    14 years 11 days ago
    Programming self developing blob machines for spatial computing.
    Download  drops.dagstuhl.de
    : This is a position paper introducing blob computing: A Blob is a generic primitive used to structure a uniform computing substrate into an easier-to-program parallel virtual mach...
    Frédéric Gruau, Christine Eisenbeis
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    DMIN
    2008
    190views Data Mining» more  DMIN 2008»
    Optimization of Self-Organizing Maps Ensemble in Prediction
    14 years 11 days ago
    Optimization of Self-Organizing Maps Ensemble in Prediction
    Download  eric.univ-lyon2.fr
    The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
    Elie Prudhomme, Stéphane Lallich
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    EUROGRAPHICS
    2010
    Eurographics
    297views Computer Graphics» more  EUROGRAPHICS 2010»
    Exact and Robust (Self-)Intersections for Polygonal Meshes
    14 years 8 months ago
    Exact and Robust (Self-)Intersections for Polygonal Meshes
    Download  www-i8.informatik.rwth-aachen.de
    We present a new technique to implement operators that modify the topology of polygonal meshes at intersections and self-intersections. Depending on the modification strategy, th...
    Marcel Campen and Leif Kobbelt
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    ICDM
    2009
    IEEE
    233views Data Mining» more  ICDM 2009»
    Semi-Supervised Sequence Labeling with Self-Learned Features
    14 years 5 months ago
    Semi-Supervised Sequence Labeling with Self-Learned Features
    Download  www.cs.cmu.edu
    —Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
    Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
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