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    AMDO
    2008
    Springer
    109views Computer Graphics» more  AMDO 2008»
    A Generative Model for Motion Synthesis and Blending Using Probability Density Estimation
    13 years 10 months ago
    A Generative Model for Motion Synthesis and Blending Using Probability Density Estimation
    Download  www.ee.surrey.ac.uk
    The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
    Dumebi Okwechime, Richard Bowden
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    FLAIRS
    2003
    133views Artificial Intelligence» more  FLAIRS 2003»
    An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
    13 years 9 months ago
    An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
    Download  dfki.de
    We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
    Boris Brandherm
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    APVIS
    2009
    121views Information Technology» more  APVIS 2009»
    Visualizing metrics on areas of interest in software architecture diagrams
    13 years 9 months ago
    Visualizing metrics on areas of interest in software architecture diagrams
    Download  www.win.tue.nl
    We present a new method for the combined visualization of software architecture diagrams, such as UML class diagrams or component diagrams, and software metrics defined on groups ...
    Heorhiy Byelas, Alexandru Telea
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    EOR
    2006
    113views more  EOR 2006»
    Validation of regression metamodels in simulation: Bootstrap approach
    13 years 7 months ago
    Validation of regression metamodels in simulation: Bootstrap approach
    Download  www.tilburguniversity.edu
    Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
    Jack P. C. Kleijnen, David Deflandre
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    IJON
    2006
    96views more  IJON 2006»
    Quasi-optimal EASI algorithm based on the Score Function Difference (SFD)
    13 years 7 months ago
    Quasi-optimal EASI algorithm based on the Score Function Difference (SFD)
    Download  sharif.edu
    Equivariant Adaptive Separation via Independence (EASI) is one of the most successful algorithms for Blind Source Separation (BSS). However, the user has to choose nonlinearities,...
    Samareh Samadi, Massoud Babaie-Zadeh, Christian Ju...
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