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    MCSS
    2007
    Springer
    139views Control Systems» more  MCSS 2007»
    Lyapunov functions for time-varying systems satisfying generalized conditions of Matrosov theorem
    13 years 7 months ago
    Lyapunov functions for time-varying systems satisfying generalized conditions of Matrosov theorem
    Download  www-sop.inria.fr
    The classical Matrosov theorem concludes uniform asymptotic stability of time varying systems via a weak Lyapunov function (positive definite, decrescent, with negative semidefi...
    Frédéric Mazenc, Dragan Nesic
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    AIIDE
    2009
    224views Artificial Intelligence» more  AIIDE 2009»
    Computational Support for Play Testing Game Sketches
    13 years 8 months ago
    Computational Support for Play Testing Game Sketches
    Download  www.cc.gatech.edu
    Early-stage game prototypes need to be informative without requiring excessive commitments. Paper prototypes are frequently used as a way of trying out core mechanics while leavin...
    Adam M. Smith, Mark J. Nelson, Michael Mateas
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    CGVR
    2006
    237views Computer Graphics» more  CGVR 2006»
    Software and Methods for Motion Capture and Tracking in Animation
    13 years 9 months ago
    Software and Methods for Motion Capture and Tracking in Animation
    Download  ww1.ucmss.com
    ended abstract details previous methods for motion tracking and capture in 3D animation and in particular that of hand motion tracking and capture. Our research aims to enable ges...
    Joan V. Condell, George Moore, John Moore
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    BMCBI
    2011
    271views Artificial Intelligence» more  BMCBI 2011»
    PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
    13 years 2 months ago
    PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
    Download  www.biomedcentral.com
    Background: OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth condit...
    Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T...
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 7 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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