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Filtering by: Advisor Wong, Weng-Keen Remove constraint Advisor: Wong, Weng-Keen Committee Member Fern, Xiaoli Remove constraint Committee Member: Fern, Xiaoli

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  • Machine learning for improving the quality of citizen science data

    Creator:
    Yu, Jun
    Abstract:
    Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
    Resource Type:
    Dissertation
    Full Text:
    Citizen Science Data Abstract approved: Weng-Keen Wong Citizen Science is a paradigm in which

  • Rare category detection using hierarchical mean shift

    Creator:
    Vatturi, Pavan Kumar
    Abstract:
    Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant anomalies, a more difficult task is to identify anomalies that are both interesting and statistically significant. Category detection is an emerging area of machine learning...
    Resource Type:
    Masters Thesis
    Full Text:
    using Hierarchical Mean Shift Abstract approved: Weng-Keen Wong Many applications in surveillance