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    PR
    2008
    97views more  PR 2008»
    A vision-based method for weeds identification through the Bayesian decision theory
    13 years 9 months ago
    A vision-based method for weeds identification through the Bayesian decision theory
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    One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
    Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
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    TSP
    2011
    170views more  TSP 2011»
    Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
    13 years 3 months ago
    Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
    Download  www.wisdom.weizmann.ac.il
    —Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
    Boaz Nadler, Leonid Kontorovich
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    ICC
    2007
    IEEE
    119views Communications» more  ICC 2007»
    Asymptotic SER Analysis of EGC and SC in Fading and Non-Gaussian Noise and Interference
    14 years 1 months ago
    Asymptotic SER Analysis of EGC and SC in Fading and Non-Gaussian Noise and Interference
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    In this paper, we present a unified asymptotic symbol error rate (SER) analysis for linearly modulated signals with equal gain combining (EGC) and selection combining (SC) at the r...
    Amir Nasri, Robert Schober, Yao Ma
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    13 years 23 days ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    IJAR
    2008
    161views more  IJAR 2008»
    Bayesian learning for a class of priors with prescribed marginals
    13 years 9 months ago
    Bayesian learning for a class of priors with prescribed marginals
    Download  www.stat.uni-muenchen.de
    We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
    Hermann Held, Thomas Augustin, Elmar Kriegler
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