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Filtering by: Creator Wenny, David Lee Remove constraint Creator: Wenny, David Lee Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Infant Hand Detection and Tracking

    Creator:
    Mishra, Shridhar
    Abstract:
    Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
    Resource Type:
    Masters Thesis
    Full Text:
    Detection and Tracking Abstract approved: Stefan Lee Hand detection is a fundamental step for many hand

  • Semantic embodied navigation : developing agents that navigate from language and vision

    Creator:
    Krantz, Jacob
    Abstract:
    Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
    Resource Type:
    Dissertation
    Full Text:
    Lee Autonomous robotic agents are on their way to becoming in-home personal assistants, construction

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis
    Full Text:
    for Efficient Learning of Point-Goal Navigation Abstract approved: Stefan M. Lee Top-performing

  • 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:
    -stage Manufacturing Process" using Dynamic Bayesian Networks Kietikul Jearanaitanakij (Lee) August

  • 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

  • Algorithms for string matching with applications in molecular biology

    Creator:
    Holloway, James Lee
    Abstract:
    As the volume of genetic sequence data increases due to improved sequencing techniques and increased interest, the computational tools available to analyze the data are becoming inadequate. This thesis seeks to improve a few of the computational methods available to access and analyze data in the genetic sequence databases. The...
    Resource Type:
    Dissertation
    Full Text:
    born, and many more died, at the Beanery. Thanks to Charlotte, David, Judy, and Mildred for creating

  • 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:
    scaling for convolu- tional neural networks. In ICML, pages 6105–6114, 2019. [10] David M. J. Tax and

  • Tracing the Pacific Islander Diaspora in the Pacific Northwest

    Creator:
    Yarbrough, Nicole
    Abstract:
    The Pacific Islander diaspora in the Pacific Northwest United States is a unique community characterized by diverse cultures, experiences, and motivations for migration. This study aimed to explore the narratives of individuals from different Pacific Islander backgrounds residing in Oregon, shedding light on their reasons for migration and the impact...
    Resource Type:
    Honors College Thesis
    Full Text:
    Abstract approved: _____________________________________________________ David G. Lewis The

  • Machine Learning and Optimization Applications in Agriculture

    Creator:
    Molotkov, Alexander
    Abstract:
    The ever-increasing global population presents looming problems for the field of agriculture. Global food demand will, at some point, increase to the point where there is not enough crop-ready land to keep up. This creates an additional incentive, other than economics, for growers to increase their yield-per-acre and make sure...
    Resource Type:
    Honors College Thesis
    Full Text:
    Manufacturing Engineering Stefan Lee, Committee Member, representing Electrical and Computer Engineering Brian

  • Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

    Creator:
    Deng, Dezhong
    Abstract:
    Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: David A. Hendrix Our goal is to build a system to model the RNA sequences that reveals

  • An enhanced version of Caesar supporting 45° geometries

    Creator:
    Lanfri, Ann R.
    Abstract:
    Caesar is an interactive graphic editor that is used to generate layouts for VLSI circuits. It runs on a VAX-11 /780 under the UNIX operating system with Berkeley extensions. Caesar has a unique and simple user interface. Phled is an enhanced version of Caesar that runs on a M68000-based engineering...
    Resource Type:
    Capstone Project
    Full Text:
    /E 83-006, Ore- gon Graduate Center, Beaverton Oregon . [10] Kronmiller , T. and Lee, D., "The

  • Relation extraction with automatic ontonotes annotation and ETC

    Creator:
    Sauer, Andrew
    Abstract:
    Intuitively, it seems as though natural language processing tasks might benefit from explicit representations of the syntactic and semantic properties of text. Ontonotes is a dataset which attempts to annotate texts, to represent as much as possible of the meaning of the text explicitly within the annotation. Many tools exist...
    Resource Type:
    Honors College Thesis
    Full Text:
    , representing Department _____________________________________________________________________ Stefan Lee

  • Collaborative Online Learning For Join Processing

    Creator:
    Xie, Mian
    Abstract:
    Relational binary operators, such as join, are arguably the most costly and frequently used operations in relational data systems. In many join algorithms, the majority of the process time is spent on scanning and attempting to join the parts of the relations that do not satisfy the join condition and...
    Resource Type:
    Capstone Project
    Full Text:
    directs the way helping me to keep moving on. Many thanks to Alan Fern and Stefan Lee for being my

  • Knowledge Base Completion Leveraging Natural Language Data

    Creator:
    Shahbazi, Hamed
    Abstract:
    Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
    Resource Type:
    Dissertation

  • System reliability through Algorithm-Based Fault tolerance and reconfiguration

    Creator:
    Ramanathan, Gowri
    Resource Type:
    Dissertation
    Full Text:
    thankful to my dissertation committee members, Professors Michael Quinn, Timothy Budd, Ben Lee and David

  • 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:
    : ______________________________________________________ David A. Hendrix MicroRNAs are a highly conserved class of small endogenous RNA, about

  • Deep Learning for Human and Biological Languages

    Creator:
    Hong, Junki
    Abstract:
    We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
    Resource Type:
    Dissertation
    Full Text:
    Human and Biological Languages Abstract approved: David Hendrix and Liang Huang We explore the

  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine

  • Implementation of a Java Graphical User Interface for the Visual Programming Language Forms/3

    Creator:
    Hackenyos, David P.
    Abstract:
    The visual programming language Forms/3 currently uses a graphical user interface implemented in Garnet. Garnet was developed by the User Interface Software Group in the Human Computer Interaction Institute at Carnegie Mellon University, but is no longer supported. This paper presents an implementation of a user interface for Forms/3 written...
    Resource Type:
    Capstone Project
    Full Text:
    for the Visual Programming Language Forms/3 by David P. Hackenyos B.S., University of Utah, 1989

  • Information Foraging Theory as a Unifying Foundation for Software Engineering Research : Connecting the Dots

    Creator:
    Piorkowski, David
    Abstract:
    Empirical studies have shown that programmers spend up to one-third of their time navigating through code during debugging. Although researchers have conducted empirical studies to understand programmers’ navigation difficulties and developed tools to address those difficulties, the resulting findings tend to be loosely connected to each other. To address this...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF David Piorkowski for the degree of Doctor of Philosophy in