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    DSMML
    2004
    Springer
    190views Machine Learning» more  DSMML 2004»
    Understanding Gaussian Process Regression Using the Equivalent Kernel
    15 years 3 months ago
    Understanding Gaussian Process Regression Using the Equivalent Kernel
    Download  www.mth.kcl.ac.uk
    The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
    Peter Sollich, Christopher K. I. Williams
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    ICIP
    2006
    IEEE
    147views Image Processing» more  ICIP 2006»
    Light and Fast Statistical Motion Detection Method Based on Ergodic Model
    15 years 11 months ago
    Light and Fast Statistical Motion Detection Method Based on Ergodic Model
    Download  iss.bu.edu
    In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
    Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
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    ICIP
    2006
    IEEE
    188views Image Processing» more  ICIP 2006»
    Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids
    15 years 11 months ago
    Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids
    Download  decsai.ugr.es
    Jose A. Guerrero-Colon, Javier Portilla
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    Voted
    ICIP
    2006
    IEEE
    127views Image Processing» more  ICIP 2006»
    Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model
    15 years 11 months ago
    Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model
    Download  www.stanford.edu
    David K. Hammond, Eero P. Simoncelli
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    80
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    ICIP
    2003
    IEEE
    110views Image Processing» more  ICIP 2003»
    Image restoration using Gaussian scale mixtures in the wavelet domain
    15 years 11 months ago
    Image restoration using Gaussian scale mixtures in the wavelet domain
    Download  www.cns.nyu.edu
    Javier Portilla, Eero P. Simoncelli
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