• Machine learning for the automatic detection of anomalous events 

        Author(s):Fisher, Wendy D.
        Date Issued:2017
        Format:born digital; doctoral dissertations
        In this dissertation, we describe our research contributions for a novel approach to the application of machine learning for the automatic detection of anomalous events. We work in two different domains to ensure a robust ...