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Filtering by: Creator Murphy, Kevin Remove constraint Creator: Murphy, Kevin Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • DemoFlow: Low-Cost Flow Cytometry for Increased Access to Medical Diagnostics

    Creator:
    Stole, Kyler M.
    Abstract:
    Flow cytometry is a highly-extensible technology for performing rapid multi-parametric particle analysis. The use of flow cytometry has proliferated with the advent of smaller, intuitive, and more affordable instruments, along with a perpetual increase in research and medical applications. However, the technology is still largely inaccessible due to cost and...
    Resource Type:
    Honors College Thesis
    Full Text:
    Medical Diagnostics Abstract approved: D. Kevin McGrath Flow cytometry is a highly-extensible

  • Exploring and Implementing the "Monitoring of a Multi-stage Manufacturing Process" using Dynamic Bayesian Networks

    Creator:
    Jearanaitanakij, Kietikul (Lee)
    Abstract:
    Hewlett-Packard (HP) is one of the world's largest computer companies and the foremost producer of test and measurement instruments. In Corvallis, Oregon, HP manufactures several precision products on high speed, automated assembly lines. The alignment process of a cap to a base part is one of the essential processes in...
    Resource Type:
    Capstone Project
    Full Text:
    algorithm for similar problem by [ 1] Binder , John, and Kevin Murphy , and Stuart Russell . The essential

  • Flex-shape convolution and an interactive image segmentation system

    Creator:
    Zhou, Zheng
    Abstract:
    Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for researchers because of the excellent predictions from Convolutional Neural Network (CNN). However, CNNs have proven to struggle with obtaining global context of image due to...
    Resource Type:
    Masters Thesis

  • A probabilistic model for anomaly detection in remote sensor streams

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate under extreme conditions prohibitive to human access. Unfortunately, sensor data streams exhibit many kinds of errors ranging from corrupt communications to partial...
    Resource Type:
    Masters Thesis
    Full Text:
    detail in Murphy [23]. 4.1 Conditional Gaussian Consider a single continuous variable, X, represented

  • Semantic image segmentation using domain constraints

    Creator:
    Roy, Anirban
    Abstract:
    This dissertation addresses the problem of semantic labeling of image pixels. In the course of our work, we considered different types of semantic labels, including object classes (e.g., car, person), 3D depth values (in the range 0 to 80 meters), and affordance classes (e.g., walkable, sittable). Semantic pixel labeling is...
    Resource Type:
    Dissertation

  • Incorporating labeled features into image classification using generalized expectation

    Creator:
    Moore, Travis
    Abstract:
    Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
    Resource Type:
    Masters Thesis

  • Causal Structure Learning from Experiments and Observations

    Creator:
    Sinha, Meghamala
    Abstract:
    In this research, we address the problem of learning a single causal network structure from multiple dataset generated from different experiments. The experiments can be observational or interventional. We assume that each dataset is generated by an unknown causal network altered under different experimental conditions (interventions, manipulation or perturbation). As...
    Resource Type:
    Masters Thesis
    Full Text:
    variables. This idea was later re-defined by Eaton and Murphy (2007) [13] to handle soft interventions or

  • 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

  • Version Control Systems: An Information Foraging Perspective

    Creator:
    Srinivasa Ragavan, Sruti
    Abstract:
    Software history and version control systems (VCS) are an important source of information for developers. This entails the need for a principled understanding of developers’ information seeking in VCS, both for improving existing tools as well as understanding requirements for new tools. However, it is only recently that researchers have...
    Resource Type:
    Masters Thesis

  • Identifying Design Discussion Topics in Open Source Software

    Creator:
    Chatterjee, Amreeta
    Abstract:
    When contributing to a software system, developers need to understand the rationale for previous design decisions so that they can adhere to the system’s design. Not doing so can lead to erosion of the overall design quality of the system. However, discussions embedded in a large volume of communication on...
    Resource Type:
    Masters Thesis