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    A Bayesian Framework for Storm Tracking Using a Hidden-State Representation 

    Source: Monthly Weather Review:;2009:;volume( 138 ):;issue: 006:;page 2132
    Author(s): Scharenbroich, Lucas; Magnusdottir, Gudrun; Smyth, Padhraic; Stern, Hal; Wang, Chia-chi
    Publisher: American Meteorological Society
    Abstract: A probabilistic tracking model is introduced that identifies storm tracks from feature vectors that are extracted from meteorological analysis data. The model assumes that the genesis and lysis times of each track are ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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