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    CGF
    2008
    129views more  CGF 2008»
    Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
    13 years 8 months ago
    Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
    Download  www.cs.utah.edu
    This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
    Vincent Pegoraro, Ingo Wald, Steven G. Parker
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    DSP
    2008
    166views Emerging Technology» more  DSP 2008»
    Extension of higher-order HMC modeling with application to image segmentation
    13 years 8 months ago
    Extension of higher-order HMC modeling with application to image segmentation
    Download  www.multitel.be
    In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
    Lamia Benyoussef, Cyril Carincotte, Stéphan...
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    JMIV
    2007
    158views more  JMIV 2007»
    On the Consistency of the Normalized Eight-Point Algorithm
    13 years 8 months ago
    On the Consistency of the Normalized Eight-Point Algorithm
    Download  cs.adelaide.edu.au
    A recently proposed argument to explain the improved performance of the eight-point algorithm that results from using normalized data [IEEE Trans. Pattern Anal. Mach. Intell., 25(9...
    Wojciech Chojnacki, Michael J. Brooks
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    ML
    2002
    ACM
    178views Machine Learning» more  ML 2002»
    Metric-Based Methods for Adaptive Model Selection and Regularization
    13 years 8 months ago
    Metric-Based Methods for Adaptive Model Selection and Regularization
    Download  www.cs.cmu.edu
    We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
    Dale Schuurmans, Finnegan Southey
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    PR
    2010
    147views more  PR 2010»
    Minimum classification error learning for sequential data in the wavelet domain
    13 years 7 months ago
    Minimum classification error learning for sequential data in the wavelet domain
    Download  fich.unl.edu.ar
    Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
    D. Tomassi, Diego H. Milone, L. Forzani
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