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    Hybrid imaging and visualization: Employing machine learning with Mathematica - Python

    Access Status
    Fulltext not available
    Authors
    Awange, Joseph
    Paláncz, B.
    Völgyesi, L.
    Date
    2019
    Type
    Book
    
    Metadata
    Show full item record
    DOI
    10.1007/978-3-030-26153-5
    ISBN
    9783030261528
    Faculty
    Faculty of Science and Engineering
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/86494
    Collection
    • Curtin Research Publications
    Abstract

    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.

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