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    PRIMA
    2007
    Springer
    98views Intelligent Agents» more  PRIMA 2007»
    Multiagent Planning with Trembling-Hand Perfect Equilibrium in Multiagent POMDPs
    14 years 1 months ago
    Multiagent Planning with Trembling-Hand Perfect Equilibrium in Multiagent POMDPs
    Download  lang.is.kyushu-u.ac.jp
    Multiagent Partially Observable Markov Decision Processes are a popular model of multiagent systems with uncertainty. Since the computational cost for finding an optimal joint pol...
    Yuichi Yabu, Makoto Yokoo, Atsushi Iwasaki
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    CTW
    2006
    88views more  CTW 2006»
    Using multiple cognitive task analysis methods for supervisory control interface design in high-throughput biological screening
    13 years 7 months ago
    Using multiple cognitive task analysis methods for supervisory control interface design in high-throughput biological screening
    Download  people.engr.ncsu.edu
    Cognitive task analysis (CTA) approaches are currently needed in many domains to provide explicit guidance on redesigning existing systems. This study used goal-directed task analy...
    David B. Kaber, Noa Segall, Rebecca S. Green, K. E...
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    CVPR
    2007
    IEEE
    193views Computer Vision» more  CVPR 2007»
    Shape Representation and Registration using Vector Distance Functions
    14 years 9 months ago
    Shape Representation and Registration using Vector Distance Functions
    Download  www.cvip.uofl.edu
    This paper introduces a new method for shape registration by matching vector distance functions. The vector distance function representation is more flexible than the conventional...
    Hossam E. Abd El Munim, Aly A. Farag
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    RSS
    2007
    176views Robotics» more  RSS 2007»
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    13 years 8 months ago
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    Download  www.roboticsproceedings.org
    Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
    Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
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    PAMI
    2006
    178views more  PAMI 2006»
    Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
    13 years 7 months ago
    Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
    Download  lear.inrialpes.fr
    Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
    Jakob J. Verbeek
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