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  • Toward computer vision for understanding American football in video

    Creator:
    Hess, Robin W.
    Abstract:
    In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
    Resource Type:
    Dissertation
    Full Text:
    -level computer vision algorithms that each accomplish a different sub-task within a larger system for

  • Tsunami Digital Library Needs Assessment: Final Report to Oregon State University Libraries and the Northwest Alliance for Computational Science & Engineering

    Creator:
    Lehman, Heather and Webster, Janet G.
    Abstract:
    The project team surveyed and interviewed forty identified experts within the diverse tsunami community. The survey revealed that this community is a sophisticated user of Internet search engines and tools and is very familiar with existing information. The sites mentioned most frequently as being helpful were those of the National...
    Resource Type:
    Technical Report
    Full Text:
    Libraries and Information Centers. There, she has facilitated the adoption of a strategic plan for

  • User interface design considerations for emerging input technologies in iTV

    Creator:
    Wolford, Justin
    Abstract:
    Streaming media and interactive television viewing experiences are becoming more commonplace with the introduction of services such as Netflix Streaming, the Apple TV, and Google TV aided by the increase adoption of broadband internet. As these services make their way into the living room, and developers struggle to accommodate more...
    Resource Type:
    Masters Thesis
    Full Text:
    in a database for later analysis. During the experiment we would take turns running technology

  • A probabilistic framework and algorithms for modeling and analyzing multi-instance data

    Creator:
    Behmardi, Behrouz
    Abstract:
    Multi-instance data, in which each object (e.g., a document) is a collection of instances (e.g., word), are widespread in machine learning, signal processing, computer vision, bioinformatic, music, and social sciences. Existing probabilistic models, e.g., latent Dirichlet allocation (LDA), probabilistic latent semantic indexing (pLSI), and discrete component analysis (DCA), have been...
    Resource Type:
    Dissertation
    Full Text:
    staying at OSU. I want to give a special thank to Dr. Mehran Sepehri for his valuable support and

  • The commentator information system : understanding journalists' needs to overcome cognitive load and navigation issues

    Creator:
    Midy, Marie-Anne
    Abstract:
    Nowadays, sports events are a significant part of the every-day entertainment with local, national, and international championships. A lot of money is invested by broadcasting companies to attract new and more viewers, acquire broadcasting rights, or send entire crews on site to cover such events. Journalists are among the few...
    Resource Type:
    Masters Thesis
    Full Text:
    powerful system used to track balls, during tennis games for example; but a lot more information is

  • Getting to local information : the role of different costs

    Creator:
    Rajaram, Vidya
    Abstract:
    Finding information can cost a significant amount of time, even when the information is already stored on the user’s local computer system. There is significant research aimed at reducing these time costs, but little research into exactly what these costs are or how they impact people’s use of tools and...
    Resource Type:
    Masters Thesis
    Full Text:
    and technologies to access local information. This thesis presents a methodology for investigating

  • Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

    Creator:
    Alsulaimawi, Zahir Ahmed Hussein
    Abstract:
    Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...
    Resource Type:
    Dissertation
    Full Text:
    grateful for their support, generosity, and encouragement on my Ph.D. Pursuing a graduate degree at OSU

  • Development test suite for FPGA TekBot learning platform

    Creator:
    Lai, Gerald
    Abstract:
    As the Tekbots program expands into senior and graduate level classes at Oregon State University, so does the need arise for more complex learning platforms. These complex hardware platforms cannot be adequately tested in a manufacturing environment as we have done previously. Also, due to their complexity, these platforms require...
    Resource Type:
    Masters Thesis
    Full Text:
    test generation for detecting logic errors at a hardware level. Students can probe their

  • A practical implementation of self-efficacy theory to improve the engineering curriculum

    Creator:
    Plisch, Marjorie
    Abstract:
    What are the most effective ways to improve the engineering curriculum? Improvements should result in increased student retention, undergraduates who are more industry-ready and graduates who are better prepared to be leaders. Current research suggests that the best predictor of persistence is a person’s self-efficacy. The focus of this thesis...
    Resource Type:
    Masters Thesis
    Full Text:
    picked triads for themselves at the beginning of the term. A triad is a concept which was borrowed

  • Machine Learning Methods for the Discovery and Analysis of MicroRNAs

    Creator:
    Bell, Jimmy D.
    Abstract:
    MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
    Resource Type:
    Masters Thesis
    Full Text:
    high throughput sequencing technology has resulted in novel microRNAs being discovered at a rapid