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Filtering by: Creator McNeel, Ross E. Remove constraint Creator: McNeel, Ross E. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Interconnection Networks Based on Gaussian and Eisenstein-Jacobi Integers

    Creator:
    Shamaei, Arash
    Abstract:
    Quotient rings of Gaussian and Eisenstein-Jacobi(EJ) integers can be deployed to construct interconnection networks with good topological properties. In this thesis, we propose deadlock-free deterministic and partially adaptive routing algo­rithms for hexagonal networks, one special class of EJ networks. Then we discuss higher dimensional Gaussian networks as an alternative to...
    Resource Type:
    Dissertation
    Full Text:
    successfully. Special thanks go to my committee, Dr. Ben Lee , Dr. Lizhong Chen , and Dr. Ross Hatton for

  • Approximation Schemes in Planar Graphs

    Creator:
    Zheng, Baigong
    Abstract:
    There are growing interests in designing polynomial-time approximation schemes (PTAS) for optimization problems in planar graphs. Many NP-hard problems are shown to admit PTAS in planar graphs in the last decade, including Steiner tree, Steiner forest, two- edge-connected subgraphs and so on. We follow this research line and study several...
    Resource Type:
    Dissertation
    Full Text:
    planar graphs. P stands for PTAS and E stands for EPTAS. U stands for “unweighted version of the problem

  • Constraining Bayesian network learning with qualitative models

    Creator:
    Altendorf, Eric E.
    Abstract:
    Machine learning encompasses probabilistic and statistical techniques that can build models from large quantities of extensional information (examples) with minimal dependence on intensional information (domain knowledge). This focus of machine learning is reflected in the never-ending quest for "off-the-shelf" classifiers. To generalize to unseen data, however, we must make use...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Eric E. Altendorf for the degree

  • Exploitation and Mitigation of CPU Vulnerabilities

    Creator:
    Mestas, Phillip O., III
    Abstract:
    AMD SEV allows for the creation of fully encrypted virtual machines. This allows cloud computing tenants’ data to be secret to the cloud computing provider. However, it has been shown that the encryption scheme used by AMD can easily be broken. The attacker can create a copy of the virtual...
    Resource Type:
    Masters Thesis

  • 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

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    information but also offers a plethora of potential applications, like augmented reality, e-commerce, and

  • Programming simulations using object-oriented languages with examples in C++

    Creator:
    Lupiya, Grant
    Abstract:
    In this project we examine the features of object oriented programming languages that make them most likely languages of choice for implementing simulations. Three simulations of a bank, hospital, and livestock farm scenarios were implemented in the language C++ in order to demonstrate how Object-Oriented languages are used in constructing...
    Resource Type:
    Capstone Project
    Full Text:
    ++ Language. PASION. .12 .14 ..... 18 ...... 2 0 3.6 ROSS

  • Coordinating secondary-user behaviors for inelastic traffic reward maximization in large-scale DSA networks

    Creator:
    NoroozOliaee, MohammadJavad
    Abstract:
    We develop efficient coordination techniques that support inelastic traffic in large-scale distributed dynamic spectrum access DSA networks. By means of any learning algorithm, the proposed techniques enable DSA users to locate and exploit spectrum opportunities effectively, thereby increasing their achieved throughput (or "rewards" to be more general). Basically, learning algorithms...
    Resource Type:
    Masters Thesis
    Full Text:
    ) hange over time, sin e agents move a ross bands at di�erent time steps. The fa t that agents do not get

  • Relationship of pauses to problem solving events in mechanical design protocols

    Creator:
    Chamberlin, Martha J.
    Abstract:
    Protocol Analysis is a technique that is commonly applied to study human problem solving. The measurement of reaction time ( or timing analysis) is another technique commonly used to study human cognitive behavior, including human problem solving. This paper examines the process of applying both of these tech­niques to the...
    Resource Type:
    Capstone Project
    Full Text:
    stages. I \\ 5. 40 ~ _,. -.:> . o+-'lf5- !J-)~ ~,~:, "-s.£f· i'bcu:, • U,.A.~~,z:..e~ . ( I

  • Relationship of pauses to problem solving events in mechanical design protocols

    Creator:
    Chamberlin, Martha J.
    Abstract:
    This thesis compares two methods for studying the problem-solving processes of mechanical design engineers. The first method, verbal protocol analysis, was applied by L. Stauffer to construct a problem-solving model of mechanical design. The second method, timing analysis, measures the time intervals separating drawing or speaking actions during the design...
    Resource Type:
    Masters Thesis
    Full Text:
    added was the events of the TEA Model. This was do, e by working with the combined timing, speech, and

  • Decision analysis using the Hybrid Uncertainty Manager

    Creator:
    Yang, Charles J.
    Abstract:
    We present an extended mapping in the Hybrid Uncertainty Manager so that all the components of an influence diagram can be represented. This will allow us to perform decision analysis on a decision problem. Specifically, a representation for decision nodes, value node, and informational arcs will be given. With these...
    Resource Type:
    Capstone Project
    Full Text:
    reasoning mechanism which maintains dependen c e of a proposition on other propositions. It maintains

  • Applying Deep Learning in Street View Imagery for Environmental Health Research

    Creator:
    Zhang, Yifang
    Abstract:
    Urban green space is associated with multiple physical and mental health outcomes. Several benefits of green space, such as stress reduction and attention restoration, are dependent on visual perception of green space exposures. However, traditional green space exposure measures do not capture street-level exposures. In this project, we apply deep...
    Resource Type:
    Capstone Project
    Full Text:
    ." International journal of computer vision 104.2 (2013): 154-171. [3] Girshick, Ross, Jeff Donahue, Trevor

  • Integrating learning and search for structured prediction

    Creator:
    Doppa, Janardhan Rao
    Abstract:
    We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of ordinary human activity - can be analyzed to make sense of the data and to make useful predictions. To fully realize the promise of this...
    Resource Type:
    Dissertation
    Full Text:
    the expected target depth of our Flipbit-null space (E[d]). . . . . . . . . . . . . . . . . . . . 89

  • Aesthetics of Curve Approximation

    Creator:
    Lippincott, Keith
    Abstract:
    In this work we propose a curve approximation method that operates in the curvature domain. The curvature is represented using one of several different types of basis functions (linear, quadratic, spline, sinusoidal, orthogonal polynomial), and the curve's geometry is reconstructed from that curvature basis. Our hypothesis is that different curvature...
    Resource Type:
    Honors College Thesis
    Full Text:
    : curvature, aesthetics Corresponding e-mail address: lippinke@oregonstate.edu ©Copyright by Keith

  • Fine-Grained Object Recognition Under Limited Training Data

    Creator:
    Lam, Michael Q.
    Abstract:
    This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...
    Resource Type:
    Dissertation

  • Leveraging Structures of the Data in Deep Learning

    Creator:
    Li, Xingyi
    Abstract:
    The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
    Resource Type:
    Dissertation
    Full Text:
    40 50 Figure 2.1: Covariance analysis on natural im- ages where ĜN (F ) = E [ supf∈F 2 N ∑N i=1

  • 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
    Full Text:
    object area; (c). negative points sampled outside object. (d). Ground truth of object; (e). Output energy

  • Ideal Thumbnail-Preserving Encryption for Balancing Image Privacy and Usability

    Creator:
    Tajik, Kimia
    Abstract:
    In this dissertation, we propose Ideal Thumbnail-Preserving Encryption (Ideal TPE), as a special case of format-preserving encryption, to balance image privacy and usability concerns in a cloud environment. We first introduce a concrete construction for Ideal TPE, that provably leaks nothing about the plaintext (unencrypted) image beyond its thumbnail. We...
    Resource Type:
    Dissertation

  • Maximum flow in planar digraphs

    Creator:
    Harutyunyan, Anna
    Abstract:
    Worst-case analysis is often meaningless in practice. Some problems never reach the anticipated worst-case complexity. Other solutions get bogged down with impractical constants during implementation, despite having favorable asymptotic running times. In this thesis, we investigate these contrasts in the context of finding maximum flows in planar digraphs. We suggest...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Bibliography 24 LIST OF FIGURES Figure Page 1.1 Harris and Ross map of the Warsaw

  • Parallelism in the SPI algorithm : an investigation

    Creator:
    Fountain, Tony
    Abstract:
    The Symbolic Probabilistic Inference (SPI) algorithm was developed by Bruce D' Ambrosio for efficient calculation of prior probabilities in belief nets [2]. Although the complexity of the SPI algorithm compares favorably with other approaches to probabilistic inference [5], its actual running time is still prohibitively long even for moderately sized...
    Resource Type:
    Capstone Project
    Full Text:
    (B) I\ P(A I BCD) P(CD) P(B I E) P(E) I\ I~ P(C I G) P(DG) P(B I EF) P(F) I~ P(D I G) P(G