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    Novel Deep Learning Techniques For Computer Vision and Structure Health Monitoring

    Pathirage CSN 2018.pdf (11.16Mb)
    Access Status
    Open access
    Authors
    Pathirage, Chathurdara Sri Nadith
    Date
    2018
    Supervisor
    Assoc. Prof. Ling Li
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Science and Engineering
    School
    Computing
    URI
    http://hdl.handle.net/20.500.11937/70569
    Collection
    • Curtin Theses
    Abstract

    This thesis proposes novel techniques in building a generic framework for both the regression and classification tasks in vastly different applications domains such as computer vision and civil engineering. Many frameworks have been proposed and combined into a complex deep network design to provide a complete solution to a wide variety of problems. The experiment results demonstrate significant improvements of all the proposed techniques towards accuracy and efficiency.

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