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    BMVC
    1997
    162views Computer Vision» more  BMVC 1997»
    Needle Map Recovery using Robust Regularizers
    13 years 10 months ago
    Needle Map Recovery using Robust Regularizers
    Download  www-users.cs.york.ac.uk
    This article describes how robust error-kernels can be used as smoothness priors in recovering shape-from-shading (SFS). Conventionally, the smoothness error is added to the data-...
    Philip L. Worthington, Edwin R. Hancock
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    SPIESR
    2000
    104views Database» more  SPIESR 2000»
    Feature localization and search by object model under illumination change
    13 years 10 months ago
    Feature localization and search by object model under illumination change
    Download  www.cs.sfu.ca
    Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
    Mark S. Drew, Zinovi Tauber, Ze-Nian Li
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    COLING
    1992
    115views Computational Linguistics» more  COLING 1992»
    Planning To Fail, Not Failing To Plan: Risk-Taking And Recovery In Task-Oriented Dialogue
    13 years 10 months ago
    Planning To Fail, Not Failing To Plan: Risk-Taking And Recovery In Task-Oriented Dialogue
    Download  acl.ldc.upenn.edu
    duplicate the route. The HCRC Dialogue Database [3] We hypothesise that agents who engage in task- contains 128 such dialogues; in this work we examined oriented dialogue usually t...
    Jean Carletta
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    ICASSP
    2010
    IEEE
    126views Signal Processing» more  ICASSP 2010»
    Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
    13 years 9 months ago
    Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
    Download  precedings.nature.com
    Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
    Max A. Little, Nick S. Jones
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    GECCO
    2010
    Springer
    173views Optimization» more  GECCO 2010»
    Superstate identification for state machines using search-based clustering
    13 years 9 months ago
    Superstate identification for state machines using search-based clustering
    Download  www.cs.le.ac.uk
    State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
    Mathew Hall, Phil McMinn, Neil Walkinshaw
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