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    NIPS
    2004
    99views Information Technology» more  NIPS 2004»
    Inference, Attention, and Decision in a Bayesian Neural Architecture
    13 years 9 months ago
    Inference, Attention, and Decision in a Bayesian Neural Architecture
    Download  www.cogsci.ucsd.edu
    We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
    Angela J. Yu, Peter Dayan
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    WSC
    2004
    266views Modeling And Simulation» more  WSC 2004»
    Two-Step 3-Dimensional Sketching Tool for New Product Development
    13 years 9 months ago
    Two-Step 3-Dimensional Sketching Tool for New Product Development
    Download  www.informs-sim.org
    This paper discusses a two-step virtual reality based conceptual design tool that enables industrial designers to create sketches of their ideas in 3-dimensional space in real tim...
    Ali Akgunduz, Hang Yu
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    VMV
    2003
    154views Visualization» more  VMV 2003»
    Piecewise Linear Approximation of Signed Distance Fields
    13 years 9 months ago
    Piecewise Linear Approximation of Signed Distance Fields
    Download  www.graphics.rwth-aachen.de
    The signed distance field of a surface can effectively support many geometry processing tasks such as decimation, smoothing, and Boolean operations since it provides efficient a...
    Jianhua Wu, Leif Kobbelt
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    IWFM
    1998
    117views Formal Methods» more  IWFM 1998»
    A Case Study on Proving Transformations Correct: Data-Parallel Conversion
    13 years 9 months ago
    A Case Study on Proving Transformations Correct: Data-Parallel Conversion
    Download  www.bcs.org
    The issue of correctness in the context of a certain style of program transformation is investigated. This style is characterised by the fully automated application of large numbe...
    Stephen Kilpatrick, Maurice Clint, Peter Kilpatric...
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    NIPS
    1994
    152views Information Technology» more  NIPS 1994»
    Finding Structure in Reinforcement Learning
    13 years 9 months ago
    Finding Structure in Reinforcement Learning
    Download  www.ri.cmu.edu
    Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
    Sebastian Thrun, Anton Schwartz
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