Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    Search 
    •   MOspace Home
    • Search
    •   MOspace Home
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Discover

    FormatThesis (2)SubjectComputer science (1)... View MoreDate Issued2010 - 2020 (2)Author/ContributorShang, Yi, 1967- (2)Carrion Castagnola, Pedro Jesus (1)Liu, Yang (1)Advisor
    Shang, Yi, 1967- (2)
    Thesis Department
    Computer science (MU) (2)
    Language (ISO)English (2)

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    Search

    [+] Search or Limit by Field[-] Search or Limit by Field

    Keyword search by field

    Search or limit your keyword search by selected fields.

    Now showing items 1-2 of 2

    • Sort Options:
    • Relevance
    • Title (ascending order: A-Z)
    • Title (descending order: Z-A)
    • Date Issued (oldest first)
    • Date Issued (recent first)
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Region based object detectors for recognizing birds in aerial images 

    Carrion Castagnola, Pedro Jesus (University of Missouri--Columbia, 2019)
    This project explores different types of deep neural networks (DNNs) for recognizing birds in aerial images based on real data provided by the Missouri Department of Conservation. The pipeline to identify birds from an image consist of two phases...

    Deep learning for small object detection in images 

    Liu, Yang (University of Missouri--Columbia, 2020)
    , identified major challenges, and listed some future research directions. Existing techniques were categorized into using contextual information, combining multiple feature maps, creating sufficient positive examples, and balancing foreground and background...

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems