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Titlebook: Hybrid Imaging and Visualization; Employing Machine Le Joseph Awange,Béla Paláncz,Lajos Völgyesi Book 20201st edition Springer Nature Switz

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书目名称Hybrid Imaging and Visualization
副标题Employing Machine Le
编辑Joseph Awange,Béla Paláncz,Lajos Völgyesi
视频videohttp://file.papertrans.cn/431/430093/430093.mp4
概述A pioneering book on hybrid methods applied to imaging and visualization.Offers simple presentation of the methods, understandable to wide readership.Associated algorithms deposited on iCloud
图书封面Titlebook: Hybrid Imaging and Visualization; Employing Machine Le Joseph Awange,Béla Paláncz,Lajos Völgyesi Book 20201st edition Springer Nature Switz
描述The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.
出版日期Book 20201st edition
关键词Hybrid visualization; Hybrid imaging; Photogrammetry; Laser Scanning; Computer Vision; Restoration images
版次1
doihttps://doi.org/10.1007/978-3-030-26153-5
isbn_softcover978-3-030-26155-9
isbn_ebook978-3-030-26153-5
copyrightSpringer Nature Switzerland AG 2020
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Joseph Awange,Béla Paláncz,Lajos Völgyesinders für die Medizin. Im Vergleich zum Geschriebenen ist die Aussagekraft eines Bildes hinsichtlich von Ausbildungsinhalten ungleich größer. Schon seit Jahrhunderten werden daher in der medizinischen Ausbildung Abbildungen, sei es als Zeichnungen, Präparate, Bilder oder Fotos, eingesetzt. In fast a
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Clustering,assification or regression methods. Unsupervised learning methods are often more challenging, as the outcomes are subjective and there is no simple goal for the analysis, such as predicting the class or continuous variable.
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Classification,KNearest Neighbors Classification is the simplest, purely data-driven algorithm that can be used either for classification or regression tasks. In geosciences literature, it is known as the Voronoi polygons, while in numerical simulations, it is known as Dirichlet cells (Müller and Guido 2017).
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