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    GRAPHICSINTERFACE
    1996
    225views Computer Graphics» more  GRAPHICSINTERFACE 1996»
    Realistic Animation of Liquids
    13 years 9 months ago
    Realistic Animation of Liquids
    Download  kucg.korea.ac.kr
    We present a comprehensive methodology for realistically animating liquid phenomena. Our approach unifies existing computer graphics techniques for simulating fluids and extends t...
    Nick Foster, Dimitris N. Metaxas
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    USENIX
    1994
    113views Operating System» more  USENIX 1994»
    Key Management in an Encrypting File System
    13 years 9 months ago
    Key Management in an Encrypting File System
    Download  www.crypto.com
    As distributed computing systems grow in size, complexity and variety of application, the problem of protecting sensitive data from unauthorized disclosure and tampering becomes i...
    Matt Blaze
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    IJCAI
    1989
    119views Artificial Intelligence» more  IJCAI 1989»
    A Critique of the Valiant Model
    13 years 9 months ago
    A Critique of the Valiant Model
    Download  dli.iiit.ac.in
    This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
    Wray L. Buntine
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    IJCAI
    1989
    125views Artificial Intelligence» more  IJCAI 1989»
    Functional Representation of Designs and Redesign Problem Solving
    13 years 9 months ago
    Functional Representation of Designs and Redesign Problem Solving
    Download  home.cc.gatech.edu
    gn problem can be abstractly characterized as a constrained function-to-structure mapping. The de­ sign task takes as input the specifications of the desired functions of a device...
    Ashok K. Goel, B. Chandrasekaran
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    ATAL
    2010
    Springer
    171views Intelligent Agents» more  ATAL 2010»
    Closing the learning-planning loop with predictive state representations
    13 years 9 months ago
    Closing the learning-planning loop with predictive state representations
    Download  www.cs.cmu.edu
    A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
    Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
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