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  • PhD Defense - Rose Yu

    Wed, Jun 07, 2017 @ 01:30 PM - 03:30 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Candidate: Rose Yu

    Date: June 7, 2017
    Time: 1:30-3:30pm
    Location: SAL 213

    Committee:
    Yan Liu
    Cyrus Shahabi
    Mahdi Soltanolkotabi (outside member)


    Title:
    Tensor learning for Large-Scale Spatiotemporal Analysis

    Abstract:
    Spatiotemporal data is ubiquitous in our daily life, including climate, transportation,
    and social media. Today, data is being collected at an unprecedented scale.
    Yesterdays concepts and tools are insufficient to serve tomorrow's data-driven
    decision makers. Particularly, spatiotemporal data often demonstrates complex
    dependency structures and is of high dimensionality. This requires new machine
    learning algorithms that can handle highly correlated samples, perform efficient
    dimension reduction, and generate structured predictions.

    In this talk, I will present tensor methods, a scalable framework for capturing
    high-order structures in spatiotemporal data. I will demonstrate how to learn from
    spatiotemporal data efficiently in both offline and online setting. I will also show
    interesting discoveries by our methods in climate and social media applications.

    Location: 213

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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