Index Catalog // ScholarsArchive@OSU

Topics in toroidal interconnection networks

Creator:: Broeg, Robert Richard
Resource Type:: Dissertation

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Creator:: Bae, Myung Mun
Abstract:: Many parallel machines, both commercial and experimental, have been/are being designed with toroidal interconnection networks. For a given number of nodes, the torus has a relatively larger diameter, but better cost/performance tradeoffs, such as higher channel bandwidth, and lower node degree, when compared to the hypercube. Thus, the torus is...
Resource Type:: Dissertation

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

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

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:: example, a research group led by James Little at the University of British Columbia is currently

Variational Satisfiability Solving

Creator:: Young, Jeffrey M.
Abstract:: Over the last two decades, satisfiability and satisfiability-modulo theory (SAT/SMT) solvers have grown powerful enough to be general purpose reasoning engines throughout software engineering and computer science. However, most practical use cases of SAT/SMT solvers require not just solving a single SAT/SMT problem, but solving sets of related SAT/SMT problems....
Resource Type:: Dissertation
Full Text:: diminished without your influence. I would like to thank Ameya Ketkar the warlock, William Maxwell the

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:: Dodge, Jonathan E.
Abstract:: Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
Resource Type:: Dissertation

Object Tracking-by-Segmentation in Videos

Creator:: Chen, Sheng
Abstract:: This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
Resource Type:: Dissertation

Conceptual Representations within the Social and Material Contexts of an Engineering Workplace and Academic Environments

Creator:: Barner, Matthew S.
Abstract:: Situated cognition theory emphasizes the role that social and material contexts have on learning and knowledge application. Several studies of engineering workplace environments have noted differences between the social and material contexts of the workplace and those of undergraduate engineering education. No existing research has studied the social and material...
Resource Type:: Dissertation

Improving and Understanding Deep Models for Natural Language Comprehension

Creator:: Ghaeini, Reza
Abstract:: Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will ﬁrst introduce several deep models...
Resource Type:: Dissertation

ScholarsArchive@OSU

Topics in toroidal interconnection networks

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

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

Interpretable Machine Learning: Applications in Biology and Genomics

Toward computer vision for understanding American football in video

Variational Satisfiability Solving

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Object Tracking-by-Segmentation in Videos

Conceptual Representations within the Social and Material Contexts of an Engineering Workplace and Academic Environments

Improving and Understanding Deep Models for Natural Language Comprehension

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