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Filtering by: Creator Yeh, Li-Hsien Remove constraint Creator: Yeh, Li-Hsien Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Automatic Detection of Possessions and Shots from Raw Basketball Videos

    Creator:
    Terhuja, Vikedo
    Abstract:
    Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data without much human assistance. This information can facilitate a better understanding of patterns and strategies in various sports. However, for non-professional teams, due to expense...
    Resource Type:
    Masters Thesis
    Full Text:
    special thanks to Dr. Fuxin Li and Dr. Harry Yeh for agreeing to be in my committee. I also wish to

  • Hybrid visualization of asymmetric tensor fields : glyphs and hyperstreamlines

    Creator:
    Palke, Darrel
    Abstract:
    Asymmetric tensor fields are useful for understanding fluid flow and solid deformation. They present new challenges, however, for traditional tensor field visualization techniques such as hyperstreamline placement and glyph packing. This is because the physical behavior of tensors inside real domains where eigenvalues are real is fundamentally different from the...
    Resource Type:
    Masters Thesis
    Full Text:
    want to learn even more. I wish to thank Professor Harry Yeh, Professor Robert S. Laramee and Guoning

  • Mapping Software Development Tool Design to Information Foraging Theory

    Creator:
    Nabi, Md Tahmid-un
    Abstract:
    The design of programming tools is slow and costly. To ease this process, we have developed a design pattern catalog aimed at providing guidance about how to design tools for developers. This guidance is grounded in Information Foraging Theory (IFT), which empirical studies have shown to be useful for understanding...
    Resource Type:
    Masters Thesis

  • Improving automated email tagging with implicit feedback

    Creator:
    Sorower, Mohammad Shahed
    Abstract:
    Machine learning systems are generally trained offline using ground truth data that has been labeled by experts. However, these batch training methods are not a good fit for many applications, especially in the cases where complete ground truth data is not available for offline training. In addition, batch methods do...
    Resource Type:
    Dissertation
    Full Text:
    committee members: Prof. Prasad Tadepalli, Prof. Alan Fern, Prof. Xiaoli Fern and Prof. Harry Yeh, for

  • 3D Voronoi Subdivision for Simulating Destructible and Granular Materials

    Creator:
    Clothier, Matthew M.
    Abstract:
    In many traditional computer graphics applications, rendered scenes typically utilize 3D meshes to represent objects within an environment. As the demand to further improve the realism of graphics applications increases, such as for movies and games, it is becoming more important to represent the inner volumes of object meshes. In...
    Resource Type:
    Dissertation

  • New learning modes for sequential decision making

    Creator:
    Judah, Kshitij
    Abstract:
    This thesis considers the problem in which a teacher is interested in teaching action policies to computer agents for sequential decision making. The vast majority of policy learning algorithms o er teachers little flexibility in how policies are taught. In particular, one of two learning modes is typically considered: 1)...
    Resource Type:
    Dissertation
    Full Text:
    Fern and Prof. Harry Yeh for their valuable guidance and feedback on my research, as well as my

  • Probabilistic models for quality control in environmental sensor networks

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject to harsh conditions, which lead to malfunctions in individual sensors and failures in network communications. This behavior manifests as corrupt or missing measurements in the...
    Resource Type:
    Dissertation

  • Atomic Bifurcations of Degenerate Curves in 3D Linear Symmetric Tensor Fields

    Creator:
    Hongyu, Nie
    Abstract:
    Tensor field topology is of importance to research areas of medicine, science, and engineering. Degenerate curves are one of the crucial topological features that provide valuable insights for tensor field visualization. In this thesis, we study the atomic bifurcations of degenerate curves in 3D linear second-order symmetric tensor fields, and...
    Resource Type:
    Masters Thesis

  • GraphLab : adding graphical functionality to OSU

    Creator:
    Lim, Mu-Hong
    Abstract:
    Oregon SpeedCode Universe (OSU) is a rapid prototyping system which automates the production of applications from a description of the user interface. GraphLab is a domain-specific tool which deals with several major problems concerning OSU: (1) limited functionality, that is, lacking graphical capabilities in generated applications, (2) indirect approach to...
    Resource Type:
    Capstone Project
    Full Text:
    Li u u ACKNOWLEDGEMENTS I would like to extend special thanks to my research advisor, Dr. Ted

  • Poisoning machine learning models to increase membership inference risks

    Creator:
    Le, Hoang
    Abstract:
    Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
    Resource Type:
    Masters Thesis
    Full Text:
    –60, New York, NY, USA, 2017. Association for Computing Machinery. [6] Damai Dai, Li Dong, Yaru Hao