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  • The Development of Computational Methods for Studying Plant-Pathogen Interactions

    Creator:
    Pankow, Rebecca C.
    Abstract:
    Modern technology has enabled the advancement of biological research through the use of powerful machines and computers as well as innovative computer programs. Advances in sequencing technology and software enable us to make de novo assemblies of organism genomes, and the development of specialized computer programs can automate routine but...
    Resource Type:
    Honors College Thesis
    Full Text:
    : __________________________________________________________ Jeff Chang Modern technology has enabled the advancement of biological research through

  • An interactive workbench for sound experimentors

    Creator:
    Boone, Jeff
    Abstract:
    This project is an interactive environment which allows the user to explore various sound generation techniques. The three methods of sound generation used are (1) FM synthesis, (2) Additive synthesis, and (3) Karplus/Strong synthesis of plucked strings. The project also provides the capability to display the generated sound waveforms and...
    Resource Type:
    Capstone Project
    Full Text:
    An Interactive Workbench for Sound Experimentors Jeff

  • Automatic Detection of Possessions and Shots from Raw Basketball Videos

    Creator:
    Terhuja, Vikedo
    Abstract:
    Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data without much human assistance. This information can facilitate a better understanding of patterns and strategies in various sports. However, for non-professional teams, due to expense...
    Resource Type:
    Masters Thesis
    Full Text:
    Raw Basketball Videos. Abstract approved: Alan P. Fern Sports analytics is rapidly evolving today

  • Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

    Creator:
    Ghadakchi, Vahid
    Abstract:
    Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
    Resource Type:
    Dissertation
    Full Text:
    StackOverflow queries . . . . . . . . . . . . . . . . . 34 2.5 P@20 of INEX Queries

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning

    Creator:
    Anderson, Andrew A.
    Abstract:
    How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...
    Resource Type:
    Masters Thesis
    Full Text:
    checking with Levene’s test that the variances were not significantly2 different (F (3, 120) = 0.4252, p

  • Species Distribution Modeling of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise

    Creator:
    He, Liqiang
    Abstract:
    Species distribution models (SDM), which quantify the correlation between the distribution of a species and environmental factors, are increasingly used to map and monitor animal and plant distributions in the context of awareness of environmental change and its ecological consequence. For perfect data, this is a straightforward classification problem from...
    Resource Type:
    Masters Thesis
    Full Text:
    thank my thesis committee: Prof. Thomas G. Dietterish, Prof. Amir Nayyeri and Prof. John P. Bolte, for

  • AI, Robot: A Rhetorical Analysis of Jeopardy! Matches Featuring IBM’s Artificial Intelligence

    Creator:
    Steele, Evan T.
    Abstract:
    The relationship between the public and new technologies has historically been a tumultuous one, with public perceptions ranging from excited rapid adoption to standoffish pessimism. In 2011, IBM tried to use competition as a means of showcasing a new technology to the public. This thesis is a work of rhetorical...
    Resource Type:
    Masters Thesis
    Full Text:
    Micro, vol. 19, no. 2, 1999, p. 72. 2 Gubbi, Jayavardhana, et al. "Internet of Things (IoT): A

  • A Structural Theorem For Shortest Vertex-Disjoint Paths Computation in Planar Graphs

    Creator:
    Zafarani, Farzad
    Abstract:
    Given k terminal pairs (s₁,t₁),(s₂,t₂),..., (s[subscript k],t[subscript k]) in an edge-weighted graph G, the k Shortest Vertex-Disjoint Paths problem is to find a collection P₁, P₂,..., P[subscript k] of vertex-disjoint paths with minimum total length, where P[subscript i] is an s[subscript i]-to-t[subscript i] path. As a special case of the...
    Resource Type:
    Masters Thesis
    Full Text:
    optimization problems are NP-hard. Thus, unless P = NP, there are no efficient algorithms for solving them

  • Walking tree methods for biological string matching

    Creator:
    Hsu, Tai C.
    Abstract:
    Approximate string matching is commonly used to align genetic sequences (DNA or RNA) to determine their shared characteristics. In contrast with the standard dynamic programming methods which use local edit distance models, the Walking Tree heuristic method was created to handle non-local changes, e.g., translocations, inversions, and duplications, altogether and...
    Resource Type:
    Dissertation
    Full Text:
    ) sequential runtime, where P and T are the pattern string and the text string, respectively. The runtime was

  • Algorithmic Problems on Simplicial Complexes

    Creator:
    Maxwell, William
    Resource Type:
    Dissertation
    Full Text:
    like to thank my friends Jeff, Ameya, Colin, and Mitchell for the many interesting conversations that

  • Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

    Creator:
    Khodadadi, Abtin
    Abstract:
    Most database users do not know formal query languages, such as SQL, and prefer to express their information needs using usable query languages, such as keyword queries. Keyword queries, however, are inherently ambiguous and challenging for the database systems to understand and answer effectively. We propose a novel approach to...
    Resource Type:
    Capstone Project
    Full Text:
    information needs, ID Title Author Year 01 MapReduce: simplified data processing on large clusters Jeff Dean

  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creator:
    Emmott, Andrew F.
    Abstract:
    It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
    Resource Type:
    Masters Thesis
    Full Text:
    Table Page 6.1 Benchmark Acceptance Rate by Metric and p-value . . . . . . . . . 46 6.2 Benchmark

  • PedVac - a graphical interface and front-end to a parallel pedestrian evacuation simulator

    Creator:
    Vimawala, Ankush V.
    Abstract:
    The World Trade Center disaster brought into focus, tragically, the need for well-designed evacuation systems in modem buildings. Today, designing an efficient evacuation system has become an integral part of designing large buildings. Simulation software enables an evacuation system to be evaluated. Modern day buildings, whether airports, auditoriums, public office...
    Resource Type:
    Capstone Project
    Full Text:
    . These acknowledgements correspond to the button on the ., toolbar pressed by the user. Program p ar

  • Java byte code obfuscator

    Creator:
    Mundle, Maithily
    Abstract:
    This paper discusses Java Bytecode Obfuscation techniques that make the reverse engineering task more difficult. This paper is structured as follows: Java virtual machine and Java language specifications are discussed first. Then the paper talks about different techniques for protecting software and then details one promising approach named Obfuscation. The...
    Resource Type:
    Capstone Project
    Full Text:
    ~~stantMethodRef .. ....... · ···· · · · · · println" "(Ljavallang!St ring ;)V" l /1 "java/io/P rintStream" I

  • 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
    Full Text:
    another position based scheme. 8 Chapter 3: Notation and Preliminaries Notation: ~f , ~b, H, P , I

  • Open Set Learning with Counterfactual Images

    Creator:
    Neal, Lawrence W.
    Abstract:
    In open set recognition, a classifier must label instances of known classes while detecting instances of unknown classes not encountered during training. To detect unknown classes while still generalizing to new instances of existing classes, this thesis introduces a dataset augmentation technique called counterfactual image generation. This approach, based on...
    Resource Type:
    Masters Thesis
    Full Text:
    probability P (yi|x) for each known class yi. The highest-probability output class label y ∗ is selected as

  • Classification of motion capture sequences

    Creator:
    Maniar, Dharin Haresh
    Abstract:
    Motion capture data is a digital representation of the complex temporal structure of human motion. Motion capture is widely used for data-driven animation in sports,medicine and entertainment, because of its ability to capture complex and realistic motions. Due to its efficiency and cost, methods for reusing collections of motion capture...
    Resource Type:
    Masters Thesis
    Full Text:
    probability P(M|Y), where M is the motion label and Y is the observed data i.e. the frames in the sequence

  • Time-dependent shortest paths in treelike graphs

    Creator:
    Shirley, Morgan
    Abstract:
    We present a proof that the number of breakpoints in the arrival function between two terminals in graphs of treewidth ω is n^(O(log²ω) when the edge arrival functions are piecewise linear. This is an improvement on the bound of n^(Θ(log n))by Foschini, Hershberger, and Suri for graphs without any bound...
    Resource Type:
    Honors College Thesis
    Full Text:
    distribute over min. The arrival function of a path P = {e1, e2, . . . , e|P |}, denoted AP , is the compo

  • Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

    Creator:
    Behnoudfar, Ali
    Abstract:
    In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
    Resource Type:
    Masters Thesis
    Full Text:
    auditor can identify such samples, max P :W (P,Pn)≤� ∫ Z φm(z)dP (z) (1.3) where Z = X × Y is the space

  • Machine learning for improving the quality of citizen science data

    Creator:
    Yu, Jun
    Abstract:
    Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
    Resource Type:
    Dissertation
    Full Text:
    , Brian Sullivan, Chris Wood, Jeff Gerbracht and Steve Kelling. Thanks to their supports in my research

  • Computing the Fréchet Distance Between Surfaces

    Creator:
    Xu, Hanzhong
    Abstract:
    The Fréchet distance is a measure of similarity between curves or surfaces. The Fréchet distance between two polygons can be computed in polynomial time, but it is much harder to compute the Fréchet distance between surfaces. We present the first (1+ε)-approximation algorithm and the first exact algorithm for computing the...
    Resource Type:
    Dissertation
    Full Text:
    2.1 Free space diagram Fδ for two segments P and Q [3]. . . . . . . . . . . 6 2.2 Three kinds of

  • Implementation of Entity Category Relationship data model on Macintosh

    Creator:
    Maithel, Neeraj
    Resource Type:
    Capstone Project
    Full Text:
    Tobles Font ~I- Layout Plain TeHt 3€P Bold 3€B Jtolic 3€ I ) Underline 3€U mrnrnmmrn 3€0 "uJmcu

  • Test case prioritization

    Creator:
    Chu, Chengyun, 1974-
    Abstract:
    Prioritization techniques are used to schedule test cases to execute in a specific order to maximize some objective function. There are a variety of possible objective functions, such as a function that measures how quickly faults can be detected within the testing process, or a function that measures how fast...
    Resource Type:
    Masters Thesis
    Full Text:
    system, Jeff Ronne, who updated the test matrix driver and sensitivity matrix driver used in the

  • Building Self Adaptive Software Systems via Test-based Modifications

    Creator:
    Christi, Arpit M.
    Abstract:
    Building software systems that adapt to the changing environment is challenging. Developers cannot anticipate all the changes in advance, and even if they could, the effort required to handle such situations is too onerous for practical purposes. Self Adaptive Software (SAS) adapts itself as per changing environment. The area of...
    Resource Type:
    Dissertation
    Full Text:
    without the program failing some required test. That is, given a program P and a test suite T ′ ⊂ T

  • 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:
    bounding box and a probability p that indicates whether the predicted box contains an object or not are

  • Using Change Representations to Analyze Properties of Variational Software

    Creator:
    Wang, Xiangyu
    Abstract:
    Appropriate representations of variational software simplify the analysis of their properties.This thesis proposes tailored representations of two kinds variational softwares: difference files of merge commits in Git and feature models. For the former, we use the Choice Edit Model, which is based on the choice calculus, to represent changes introduced...
    Resource Type:
    Masters Thesis
    Full Text:
    Feature Relationships Feature Diagrams PL Mapping Mandatory P C P↔C Optional P C C→ P Or P C1

  • SPEAR : Superlative Plagiarism Explorer And Reporter

    Creator:
    Pavithran, Siddharth
    Abstract:
    In this project, we have investigated three different techniques for plagiarism detection and have compared its effectiveness against that of an unaided human grader. The techniques investigated were word frequency analysis, sentence inclusion analysis and sub string inclusion analysis. We found that a combination of word frequency analysis and sub...
    Resource Type:
    Capstone Project
    Full Text:
    "gia*rize\, v. t. [imp. & p. p. Plagiarized; p. pr. & vb. n. Plagiarizing.] To steal or purloin from

  • Bayesian optimization with empirical constraints

    Creator:
    Azimi, Javad
    Abstract:
    Bayesian Optimization (BO) methods are often used to optimize an unknown function f(•) that is costly to evaluate. They typically work in an iterative manner. In each iteration, given a set of observation points, BO algorithms select k ≥ 1 points to be evaluated. The results of those points are...
    Resource Type:
    Dissertation
    Full Text:
    for computing a p-safe uniform schedule with maximum number of stages given the scheduling

  • Bayesian methods for knowledge transfer and policy search in reinforcement learning

    Creator:
    Wilson, Aaron
    Abstract:
    How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent action selection choices based on its available knowledge. This dissertation focuses on Bayesian methods of representing learned knowledge and develops novel algorithms that exploit the represented...
    Resource Type:
    Dissertation
    Full Text:
    = .86. On the right we illustrate the expected improvement assuming that P (η(θ)|θ = .86) is Gaussian

  • Implementation of a compiler for a subset of ALCOM using SLR parsing technique

    Creator:
    Hu, Fu-King
    Resource Type:
    Capstone Project
    Full Text:
    case letters (w1d digits)p without the an gle brackets< >. Examples are: stmt, id, wri tel. We

  • Web-based GIS/database application : motels in Oregon

    Creator:
    Kritphonchai, Thitisak
    Abstract:
    We developed a Web-based GIS/database application designed to help motel businesses reach target customers effectively. By using an interactive map along with a relational database, users can view any particular area of the map and perform some basic operations as their groups privileges permit. With different types of privileges, users...
    Resource Type:
    Capstone Project
    Full Text:
    shown in Figure 4-2, 4-3. 10 ) @ WebGO Appltcatlon • Mlcrosofl. Int•~ C:plOfu ma ,. P .. '

  • COMPLOT : Combined PLOT drivers for Tektronix graphic terminals, Calcomp and Hewlett Packard plotters

    Creator:
    Hubble, Larry Robert
    Abstract:
    COMPLOT is a versatile set of plot drivers designed to be used on a Tekterminal, Calcomp, or Hewlett Packard plotter in a time-sharing environment. Although the hardware aspects of each plotting device are quite different, COMPLOT allows the plotting devices to be treated as if they were the same.
    Resource Type:
    Masters Thesis
    Full Text:
    during the preparation of this thesis. I also wish to thank Mr. Jeff Bal lance of the computer center

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    significance (p ≤ 5× 10−8). In the previous rSNP recognition methods of which we are aware, a significant

  • The Analysis of First Year Computer Science Design Documents

    Creator:
    Ernst, Shannon S.
    Abstract:
    Computer science is, at its core, about solving problems. The "Carry out the Plan" portion of problem solving is often examined and emphasized in CS 1 and CS 2, forgetting to emphasize the other important aspects of the problem solving process. This study focuses on the other problem-solving steps, which...
    Resource Type:
    Masters Thesis
    Full Text:
    significantly different each term for each design document with a p-value < 0.05. For design documents 1-3 in

  • Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

    Creator:
    Zemicheal, Tadesse H.
    Abstract:
    Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1515 2.6 Modelling the P (A(v)|s1, . . . , si) . . . . . . . . . . . . . . . . . . . . . . . 1717 2.7

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation
    Full Text:
    points transformed from global into local coordinates, p is the coordi- nates of points, and f is the

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    Resource Type:
    Dissertation
    Full Text:
    class labels yt = {ytp : ytp ∈ {0, 1}L} for pixels p in video frame t, where ytp has only one non-zero

  • Robust and Efficient Classification of Videos in the Wild

    Creator:
    Mahasseni, Behrooz
    Abstract:
    Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...
    Resource Type:
    Dissertation

  • Perceptual thresholds for foot slipping in animated characters

    Creator:
    Strawn, Jordan J.
    Abstract:
    The computer game industry continues to progress toward realistic-looking character motion. However, even in state-of-the-art games, the use of motion capture data in character animation may result in errors such as “foot slipping,” where the feet do not match up with the floor properly during translation. Various algorithms have been...
    Resource Type:
    Honors College Thesis

  • OSU v 3.0 Browser : window into GUI applications

    Creator:
    Li, Tong, Lewis, Ted G., and Budd, Timothy A.
    Abstract:
    Graphical user interface (GUI) applications based on object-oriented design are difficult to build without a supportive tool to graphically visualize the structure of the entire application. As an application becomes larger and more complex, it becomes harder to visualize its class hierarchy. Several systems, such as Smalltalk, MacApp, THINK C...
    Resource Type:
    Capstone Project
    Full Text:
    Information Sequence # : ..... Io ___ __. Messages IEnableMenu I tem(short p I temNumber) ( Cancel

  • GraphView : a graphical application builder using the ViewBuilder common data model

    Creator:
    Drongesen, Kimberly G.
    Abstract:
    Application programming has become increasingly difficult because of the high demands of creating a Graphical User Interface. One solution to this problem is to provide an object oriented application framework which provides much of the functionality of the GUI in a reusable library. However, application frameworks do not provide reusable...
    Resource Type:
    Capstone Project
    Full Text:
    invaluable. Jeff Drongesen, who is the most patient and supportive husband anyone could ask for. And to

  • 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:
    : (x ∗ w)(p) = ∫ x(i)w(p− i)di (3.1) The discrete convolution is defined as: (x ∗ w)(p) = ∑ i x(i)w

  • Probabilistic models for quality control in environmental sensor networks

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject to harsh conditions, which lead to malfunctions in individual sensors and failures in network communications. This behavior manifests as corrupt or missing measurements in the...
    Resource Type:
    Dissertation
    Full Text:
    conditional distribution on P (X|S,O = o). Right: After marginalizing our uncertainty about the sensor state

  • Mood-dynamic playlist : interpolating a path of emotions using a KNN algorithm

    Creator:
    Gaur, Shaurya
    Abstract:
    Users curate music playlists based on emotion to focus or relax, so streaming services often create playlists of songs to aid this process. Prior research focuses on generating playlists of a single mood or genre, although a few studies work to construct automatic playlists that transition between the genres of...
    Resource Type:
    Honors College Thesis
    Full Text:
    − Yi|p) 1 p (1) This is equivalent to the p-norm of a vector X − Y . The Manhattan distance, also

  • Computing Resource Usage as a Factor of Student Success

    Creator:
    Moissinac, Béatrice
    Abstract:
    Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...
    Resource Type:
    Dissertation

  • Uncertainty in Deep Learning with Implicit Neural Networks

    Creator:
    Ratzlaff, Neale
    Abstract:
    The ability to extract uncertainties from predictions is crucial for the adoption of deep learning systems to safety-critical applications. Uncertainty estimates can be used as a failure signal, which is necessary for automating complex tasks where safety is a concern. Furthermore, current deep learning systems do not provide uncertainty estimates,...
    Resource Type:
    Dissertation
    Full Text:
    of all: my wonderful parents Jim and Vicki Ratzlaff, my brothers Chris, Jeff, and Bryan, and sisters

  • On Avoiding Power-Seeking by Artificial Intelligence

    Creator:
    Turner, Alexander M.
    Abstract:
    We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
    Resource Type:
    Dissertation

  • Information Theoretical Analysis of Self-Similar Trees

    Creator:
    Chunikhina, Evgenia V.
    Abstract:
    Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
    Resource Type:
    Dissertation
    Full Text:
    binary entropy H(p) = −p log2 p− (1− p) log2(1− p). . . . . . . . . . 34 4.2 The binary tree that

  • Source-Routed Multicast Schemes for Large-Scale Cloud Data Center Networks

    Creator:
    Alqahtani, Jarallah Ali m
    Abstract:
    Data centers (DCs) have been witnessing unprecedented growth in size, number and complexity in recent years. They consist of tens of thousands of servers interconnected by fast network switches, hosting and enabling numerous applications with various traffic characteristics and requirements. As a result, DC networks have been presented with several...
    Resource Type:
    Dissertation
    Full Text:
    multi- cast source’s hypervisor. The hypervisor copies each multicast packet and adds the p-rules R1

  • 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:
    the number of positive and negative (#P, #N) examples (left) and while increasing sample size for km

  • Computing Bounded Chains and Surfaces in a Simplicial Complex with Bounded-treewidth 1-skeleton

    Creator:
    Black, Mitchell
    Abstract:
    We consider three problems on simplicial complexes: the Optimal Bounded Chain Problem, the Optimal Homologous Chain Problem, and 2-Dim-Bounded-Surface. The Optimal Bounded Chain Problem asks to find the minimum weight d-chain in a simplicial complex K bounded by a given (d−1)-chain, if such a d-chain exists. The Optimal Homologous Chain...
    Resource Type:
    Masters Thesis
    Full Text:
    coefficients in Z2 is hard to approximate within some constant factor if P 6= NP and hard to approximate with

  • A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

    Creator:
    Azzouni, Abdullah
    Abstract:
    Continuous Improvement (CI) of academic computing programs is a main requirement of accreditation. Academic computing programs must have a well-documented CI plan in order to be granted accreditation. Based on the existing literature, we developed a comprehensive CI (or 360-CI) model consisting of 8 components: course, curriculum, administration, faculty, research,...
    Resource Type:
    Dissertation

  • Integrating Side Effects in Variational Programs Using Algebraic Effects

    Creator:
    Alkubaish, Ghadeer
    Abstract:
    Variational programming supports efficiently executing many related programs at once by encoding all of the programs in one "variational program" that captures the differences among them statically and explicitly. An open problem in variational programming is how to handle side effects—if two program variants perform different side effects, we cannot...
    Resource Type:
    Masters Thesis
    Full Text:
    mates Jeff, Parisa, Fariba and Qiaoran. I appreciate all of their feedback during the writing workshops

  • Part-based and Uncertainty-Aware Few-shot Object Segmentation in Images

    Creator:
    Nguyen, Khoi D.
    Abstract:
    This dissertation addresses few-shot object segmentation in images. The goal of segmentation is to label every image pixel with a class of the object occupying that pixel, where the class may represent a semantic object category or instance. In few-shot segmentation, training and test datasets have different classes. Every new...
    Resource Type:
    Dissertation

  • 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

  • The Past, Present, and Future of American Election Security: A Survey

    Creator:
    Read, Lyell
    Abstract:
    The widespread adoption of computerized systems around the turn of the century as a means of more efficiently conducting elections introduced more issues than these computer systems were intended to address. Though many of these flaws were not considered for years or decades after the introduction of digital election infrastructure,...
    Resource Type:
    Honors College Thesis
    Full Text:
    Attack 3 Attack 4 V P E V P E V P E V P E HFOS DVS ImageCast Precinct ∼10.4% V V V V V V V V V U U U

  • Meeting End-to-End Deadlines in Real-Time Networks Using Software Defined Networking (SDN)

    Creator:
    Almahdi, Rafid M.
    Abstract:
    Network flows in Real-Time (RT) systems need to meet stringent end-to-end deadlines in order for such systems to operate safely and reliably. Today, such systems use custom or domain specific network system designs to meet end-to-end deadlines and other constraints of real-time flows. In this work we explore the design...
    Resource Type:
    Dissertation
    Full Text:
    D tp s′,s. This can be computed as: Dtps′,s = D t s′,s +D p s′,s′ 4.2.4 Processing and Queuing

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    ) Pixel-level probability Sn,mip,jp ; (b) Voronoi-based probability S n,m p for the example image in

  • Helping end users create and manage test cases in the WYSIWYT methodology

    Creator:
    Fisher, Marc Randall
    Abstract:
    Previous work has developed the What You See Is What You Test (WYSIWYT) methodology for testing spreadsheets. This methodology has been shown to help end users test, debug, and modify spreadsheets. To date, however, this system has provided no support for creating, reusing, and managing test cases, a process that...
    Resource Type:
    Masters Thesis
    Full Text:
    communication, Jeff Offutt. 15 3.1.2.1 Overall Algorithm Like Random, Goal-oriented is invoked, in our

  • 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
    Full Text:
    formulate our scene labeling problem as finding the MAP assignment X̂ = arg maxX P (X|G). In the following

  • The Oregon State Simulation Model command processing system

    Creator:
    Neuberger, Rosalyn C.
    Resource Type:
    Capstone Project
    Full Text:
    , !=LI > SPECIFY ,*SY! A:lLS=SYMBLJLS >! SPECIFY, *IDVR=IN IT > OU1~P. TTI ME, ADUM > STARTHUtl

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    containing the interaction frequencies between m pollinators and n plants P A binary m× n matrix indicating

  • A software package for an intelligent graphic display terminal

    Creator:
    Nelson, Cecil L.
    Abstract:
    A cost reduction analysis is performed by coordinating the exchange of LANDSAT (formerly ERTS) data between a CDC 3300 and a PDP8/L minicomputer. The LANDSAT data is displayed on a 4002 Tektronix terminal by means of a grayscale output. Large amounts of data and number manipulation are processed in the...
    Resource Type:
    Masters Thesis
    Full Text:
    pointer format as the subroutine found in Phase two. TYP (N,P ) -used to output information to the

  • 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:
    : Integrating Learning and Search for Structured Prediction Abstract approved: Prasad Tadepalli Alan P. Fern

  • 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
    Full Text:
    p p p... expand z2 ... (o1, o2, ..., on)1 (o1, o2, ..., on)2 (o1, o2, ..., on)k... DP DP DP p p

  • Studies to inform a visual language for authoring interactive exercise prescriptions

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Communicating dynamic motion content, such as exercise, with a static medium, such as paper, is difficult. The technology exists for presenting 3D animated exercise content to patients; however, the tools for allowing exercise domain experts to effectively author the content do not exist. We conducted two formative studies with exercise...
    Resource Type:
    Masters Thesis
    Full Text:
    observations, we held a preliminary meeting between the two researchers, the patient (P), and an athletic

  • Leveraging Generated Tests

    Creator:
    Alipour, Mohammad Amin
    Abstract:
    The main goal of automated test generation is to improve the reliability of a program by exposing faults to developers. To this end, testing should cover the largest possible portion of the program given a test budget (i.e., time and resources) as frequently as possible. Coverage of a program entity...
    Resource Type:
    Dissertation
    Full Text:
    population P where f appears in tests at rate r, compute a Wilson score interval for a given confidence (e.g

  • 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
    Full Text:
    -by-Segmentation in Videos Abstract approved: Alan P. Fern This thesis focuses on the problem of

  • Implementing remote laboratories for control engineering : foundations for distance learning

    Creator:
    Bohus, Carisa
    Abstract:
    Distance learning enables students to study effectively from remote locations. With televised lectures now commonplace, many disciplines can provide effective distance learning. While the lecture format serves many disciplines, it does not serve those that require laboratory work. Currently, there is little distance learning support for laboratory work. Second Best...
    Resource Type:
    Masters Thesis

  • Learning with Limited Labeled Data in Natural Language Processing

    Creator:
    Obeidat, Rasha
    Abstract:
    The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
    Resource Type:
    Dissertation
    Full Text:
    distribution P (X) (i.e., D = {X , P (X)}) where X ∈ X . Given a domain {X , P (X)}, a task consists of the

  • Active Learning from Examples, Queries and Explanations

    Creator:
    Hamidi-Haines, Mandana
    Abstract:
    Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
    Resource Type:
    Dissertation
    Full Text:
    transition function P(s′|s, a) which represents the distribution of next states s′ given the state s and

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation

  • Understanding Software-2.0: A Study of Machine Learning library usage and evolution

    Creator:
    Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny
    Abstract:
    Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
    Resource Type:
    Research Paper
    Full Text:
    Dependencies: Let P be a set of Python projects, such that each project p ∈ P contains a requirements.txt. For

  • 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

  • Supporting merge comprehension when resolving merge conflicts

    Creator:
    Nelson, Nicholas
    Abstract:
    Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
    Resource Type:
    Dissertation

  • Integrating the MVC paradigm into an object-oriented framework to accelerate GUI application development

    Creator:
    Wittel, Walter I., Jr.
    Abstract:
    Applications supporting a graphical user interface (GUI) are difficult to write. While existing tools can accelerate software development, they suffer from a number of problems that limit their helpfulness. They offer too little functionality, and support only a small part of the GUI software development task. They lack architectural models...
    Resource Type:
    Capstone Project

  • Imperative Programming with Variational Effects

    Creator:
    Grasley, Alexander B.
    Abstract:
    Variation is a commonly encountered element of modern software systems. Recent research into variation has led to increasing interest in the development of variational programming languages and corresponding variational models of execution. Variational imperative languages pose a particular challenge due to the complex interactions between side effects and variation. The...
    Resource Type:
    Masters Thesis
    Full Text:
    you. A special recognition goes to Jeff Young, a great classmate and colleague, but most importantly

  • Parsing with Recurrent Neural Networks

    Creator:
    Cross, James Henry, III
    Abstract:
    Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...
    Resource Type:
    Dissertation
    Full Text:
    representation: p = tanh(W [x1;x2] + b) (2.3) Note that at the leaf level, the inputs to the network are vector

  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation
    Full Text:
    Professor Jeff Miller, Steven Highland, and Don Henshaw for their contribution to the visualization of the

  • Stake-Free Evaluations of Black-Box Optimization and Spatio-Temporal Graph Network Algorithms

    Creator:
    Merrill, Erich, III
    Abstract:
    Papers proposing novel machine learning algorithms tend to present the algorithm or technique in question in the best possible light. The standard practice is generally for authors to emphasize their proposed algorithms' performance in the precise setting where it is maximally impressive, often by only fully evaluating their best known...
    Resource Type:
    Dissertation

  • Video Analysis : Techniques for Semi-Supervised Video Object Instance Segmentation and Tracking-by-Detection in the Wild

    Creator:
    Firl, Alrik K.
    Abstract:
    This thesis consists of two major components. The first part is concerned with video object instance segmentation (VOS), which is the task of assigning per-pixel labels perframe of a video sequence to indicate foreground object instance membership, given the first frame ground truth mask. VOS has myriad applications, from video...
    Resource Type:
    Masters Thesis

  • Information foraging in debugging

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Programmers spend a substantial fraction of their debugging time by navigating through source code, yet little is known about how programmers navigate. With the continuing growth in size and complexity of software, this fraction of time is likely to increase, which presents challenges to those seeking both to understand and...
    Resource Type:
    Dissertation
    Full Text:
    , Cleo, Vi, Marci, Bob, William, Jacob), Bonnie John, Janice Singer, Rob Miller, Jeff Stylos, Thomas La

  • Formative Work Toward a Mixed-Initiative Programming Language

    Creator:
    Abbott, Keeley
    Abstract:
    Mixed-initiative programming entails collaboration between a computer system, and a human to achieve some desired goal or set of goals. Often these goals change or are amended in real time during the course of program execution. As such, the plans these programs are based on must adapt and evolve to...
    Resource Type:
    Masters Thesis

  • Developing a 2D Cross-section Training Strategy for 3D Volume Segmentation by Analyzing Human Perception and Cognitive Tasks

    Creator:
    Sanandaji, Anahita
    Abstract:
    3D volume segmentation is a fundamental process in many scientific and medical applications. Producing accurate segmentations, in an efficient way, is challenging, in part due to low imaging data quality (e.g., noise and low image resolution), and ambiguity in the data that can only be resolved with higher-level knowledge of...
    Resource Type:
    Dissertation
    Full Text:
    = -0.70 , p<0.00001). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 4.20 a) low

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    ]. Reinforcement learning addresses the problem of finding an optimal policy, π∗(s, a) = P (a|s), that maximizes a

  • An alternative architecture for performing basic computer arithmetical operations

    Creator:
    Djang, Kevin
    Abstract:
    The arithmetic portions of almost all modern processor architectures are of very similar design. We use the term "traditional" to describe this design, the primary characteristics of which are native support for integer and floating-point number types and special disjoint instructions and hardware for each supported type. Decades of refinement...
    Resource Type:
    Masters Thesis

  • Assessing and Finding Faults in AI: Two Empirical Studies

    Creator:
    Khanna, Roli
    Abstract:
    With the advent of Artificial Intelligence (AI) in every sphere of life in today's day and age, it has become increasingly important for non-AI experts to be able to comprehend the underlying logic of how AI systems work, assess them and find faults in these systems, particularly when they are...
    Resource Type:
    Masters Thesis
    Full Text:
    - rials). A A R / A I In n e r L o o p 3. Review what was supposed to happen What did the evaluator

  • New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

    Creator:
    Ma, Chao
    Abstract:
    This thesis studies the problem of structured prediction (SP), where the agent needs to predict a structured output for a given structured input (e.g., Part-of-Speech tagging sequence for an input sentence). Many important applications including machine translation in natural language processing (NLP) and image interpretation in computer vision can be...
    Resource Type:
    Dissertation
    Full Text:
    potential function is learned that represents the conditional distribution P (y|x). The exact inference

  • G, a language based on demand-driven stream evaluations

    Creator:
    Placer, John R.
    Abstract:
    A programming paradigm can be defined as a model or an approach employed in solving a problem. The results of the research described in this document demonstrate that it is possible to unite several different programming paradigms into a single linguistic framework. The imperative, procedural, applicative, lambda-free, relational, logic and...
    Resource Type:
    Dissertation
    Full Text:
    express. Thank you Carol for your endless patience and encouragement. Thank you Carol, Jeff and Meredith

  • Topological analysis, visualization, and design of vector fields on surfaces

    Creator:
    Chen, Guoning
    Abstract:
    Analysis, visualization, and design of vector fields on surfaces have a wide variety of major applications in both scientific visualization and computer graphics. On the one hand, analysis and visualization of vector fields provide critical insights to the flow data produced from simulation or experiments of various engineering processes. On...
    Resource Type:
    Dissertation

  • Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

    Creator:
    Khorram, Saeed
    Abstract:
    The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...
    Resource Type:
    Dissertation

  • Towards Automating Type Changes

    Creator:
    Ketkar, Ameya S.
    Abstract:
    Developers frequently change the type of a program element and update all its references for performance, security, concurrency, library migration, or better maintainability. Despite type changes being a common program transformation, it is the least automated and the least studied. Manually performing type changes is tedious since the programmers have...
    Resource Type:
    Dissertation
    Full Text:
    and Keeley Abott. I would thank Jeff for introducing me to DnD, co-programming nursery rhymes in Eu

  • Similarity inheritance : a model of inheritance for declarative visual programming languages

    Creator:
    Djang, Rebecca W. (Rebecca Walpole)
    Abstract:
    Declarative visual programming languages (VPLs), including spreadsheets, make up a large portion of both research and commercial VPLs. Spreadsheets in particular enjoy a wide audience, including end users. Unfortunately, spreadsheets and most other declarative VPLs still suffer from some of the problems that have been solved in other languages, such...
    Resource Type:
    Dissertation

  • 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

  • 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

  • Eliciting informal specifications from scientific modelers for evaluation and debugging

    Creator:
    Bogart, Christopher
    Abstract:
    Professional software engineers have an arsenal of techniques such as unit testing and assertions to check their specifications, but these techniques require tools, motivation, experience and training that programmers without professional software engineering training may not have. As a result, professionals in other fields, such as scientific modelers, face greater...
    Resource Type:
    Dissertation

  • Designing Diversity and Inclusion Processes and Tools for Sustainable Open Source

    Creator:
    Guizani, Mariam
    Abstract:
    Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
    Resource Type:
    Dissertation
    Full Text:
    level at which the challenge appeared in our finding: (F)- foundation level, (P)- project level, and (I