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Filtering by: Creator Lee, Jong-Jan Remove constraint Creator: Lee, Jong-Jan Degree Field Computer Science Remove constraint Degree Field: Computer Science Degree Level Master's Remove constraint Degree Level: Master's

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  • Relational Learning over Dirty Data Using Data Constraints

    Creator:
    Lee, Ga Young
    Abstract:
    Real-world datasets are dirty and contain many errors. Examples of these issues are violations of integrity constraints, duplicates, and inconsistencies in representing data values and entities. Applying machine learning on dirty databases may lead to inaccurate results. Users have to spend a lot of time and effort repairing data errors...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Ga Young Lee for the degree of

  • Exploring Outlier Exposure Methods for Deep Margin-Based Anomaly Detection

    Creator:
    Noel, Thomas
    Abstract:
    In standard training regimes, one assumes that the classes presented to a model constitute all of the classes that the model will encounter when it is deployed. In real deployment scenarios, however, a model can sometimes encounter situations or objects that it has never seen. When these scenarios are safety-critical,...
    Resource Type:
    Capstone Project
    Full Text:
    Robert P. W. Duin. Support vector data description. Mach. Learn., 54(1):45–66, Jan 2004. 19 [11

  • LabelFlicks

    Creator:
    Ruangrotsakun, Chalida
    Abstract:
    Using supervised machine learning (ML) to train a computer vision model typically requires human annotators to label objects in images and video. Given a large training dataset, this can be labor intensive, presenting a significant bottleneck in the model-development process. LabelFlicks is an open-source desktop application that aims to address...
    Resource Type:
    Capstone Project
    Full Text:
    like to thank my committee members, Dr. Margaret Burnett and Dr. Stefan Lee, for teaching excellent

  • Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

    Creator:
    George, Damon A.
    Abstract:
    Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
    Resource Type:
    Masters Thesis

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis

  • Image Based Crypto

    Creator:
    Basa, Gungor
    Abstract:
    The ability to create reproducible cryptographically secure keys from temporal environments (e.g., images) has the potential to be a contributor to effective cryptographic mechanisms. Due to the noisy nature of these environments, achieving this goal in a user friendly fashion is a very challenging task, especially since there exists a...
    Resource Type:
    Masters Thesis

  • Interactive HTML

    Creator:
    Hackborn, Dianne
    Abstract:
    As the World Wide Web continues to grow, people clearly want to do much more with it than just publish static pages of text and graphics. While such increased interactivity has traditionally been accomplished through the use of server-side CGI scripts, much recent research on Web browsers has been on...
    Resource Type:
    Masters Thesis

  • Learning greedy policies for the easy-first framework

    Creator:
    Xie, Jun
    Abstract:
    Easy-first, a search-based structured prediction approach, has been applied to many NLP tasks including dependency parsing and coreference resolution. This approach employs a learned greedy policy (action scoring function) to make easy decisions first, which constrains the remaining decisions and makes them easier. This thesis studies the problem of learning...
    Resource Type:
    Masters Thesis
    Full Text:
    system. Lee et al. [24] and Stoyanov and Eisner [39] subsequently applied the same idea to corefer

  • Applications of Conditional Topic Models to Species Distribution Prediction

    Creator:
    Wilkins, Paul Christopher
    Abstract:
    The topic of species distribution modelling has been on of increasing interest in recent years. As climate change is becoming of even more interest to researchers, more tools are needed to better analyze and predict various climate change scenarios. One particular area of interest is that of species distribution modeling....
    Resource Type:
    Capstone Project
    Full Text:
    , 3:993–1022, 2003. [2] Hendrik Blockeel, Maurice Bruynooghe, Saso Dzeroski, Jan Ramon, and Jan

  • Optimization of machine allocation in RingLeader

    Creator:
    King, Jonathan B.
    Abstract:
    Many different types of distributed batch scheduling systems have been developed in the last decade to take advantage of the decentralization of computers and the enormous investments that many companies and educational institutions have in desktop workstations. Based on the premise that the majority of desktop workstations are significantly underutilized,...
    Resource Type:
    Masters Thesis
    Full Text:
    Shaar, 1993] or other means of ensuring fault tolerance [Gait, 1985][Lee et al., 1991]. Scheduling for