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    IJRR
    2008
    186views more  IJRR 2008»
    Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
    14 years 11 months ago
    Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
    Download  groups.csail.mit.edu
    Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
    Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
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    CVIU
    2007
    136views more  CVIU 2007»
    MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
    14 years 11 months ago
    MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
    Download  users.cecs.anu.edu.au
    A maximum a posterior probability zero disparity filter (MAP ZDF) ensures coordinated stereo fixation upon an arbitrarily moving, rotating, re-configuring hand, performing mark...
    Andrew Dankers, Nick Barnes, Alexander Zelinsky
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    81
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    JUCS
    2008
    155views more  JUCS 2008»
    Combining Classifiers in the ROC-space for Off-line Signature Verification
    14 years 11 months ago
    Combining Classifiers in the ROC-space for Off-line Signature Verification
    Download  www.jucs.org
    : In this work we present a strategy for off-line signature verification. It takes into account a writer-independent model which reduces the pattern recognition problem to a 2-clas...
    Luiz S. Oliveira, Edson J. R. Justino, Robert Sabo...
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    104
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    JSAC
    2006
    199views more  JSAC 2006»
    IDES: An Internet Distance Estimation Service for Large Networks
    14 years 11 months ago
    IDES: An Internet Distance Estimation Service for Large Networks
    Download  cseweb.ucsd.edu
    The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
    Yun Mao, Lawrence K. Saul, Jonathan M. Smith
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    MVA
    2008
    125views Computer Vision» more  MVA 2008»
    Pearson-based mixture model for color object tracking
    14 years 11 months ago
    Pearson-based mixture model for color object tracking
    Download  www.fresnel.fr
    To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
    William Ketchantang, Stéphane Derrode, Lion...
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