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Filtering by: Creator Wight, Ronald P. Remove constraint Creator: Wight, Ronald P. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Voxel based indirect illumination using spherical harmonics

    Creator:
    Rauwendaal, Randall
    Abstract:
    Realistic (ideally photorealistic) real-time rendering has remained an elusive goal in computer graphics. While photorealistic rendering has certainly been achieved at the expense of tremendous computational resources and corresponding rendering times; real-time rendering typically must accept a great number of compromises to achieve adequate performance, such as aliasing artifacts, the...
    Resource Type:
    Dissertation

  • Volume analysis and visualization

    Creator:
    Khare, Ankit
    Abstract:
    3D datasets acquire great importance in the context of medical imaging. In this thesis we survey and enhance solutions to problems inherently associated with 3D datasets-processing time,noise and visualization. Efforts include development of a tool kit to provide a multi-threaded processing platform to cut processing time, produce real time visualization...
    Resource Type:
    Masters Thesis

  • Visualization and design systems for road infrastructure

    Creator:
    Esch, Gregory
    Abstract:
    Transportation infrastructure provides a vital service for the functionality of a city. The efficient design of road networks poses an interesting topic in computer science for digital content developers. For civil engineers, the visualization of analysis results on infrastructure both efficiently and intuitively is crucial. The following contributions are made...
    Resource Type:
    Masters Thesis
    Full Text:
    thanks. Ronald Metoyer has been a pivotal figure in pushing me toward the various people in my college

  • Visual Analysis of Attorney Case Portfolios Over Time

    Creator:
    Nambirajan, Surendar
    Abstract:
    While individual portfolio diversity analysis is a well-studied problem in visualization, the visual analysis of individual or groups of portfolios, over time, has received little attention. Such analysis, however, is important to researchers who are interested in better understanding portfolio management behavior of experts as well as novices. We conducted...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: ______________________________________________________ Ronald A. Metoyer

  • Variant Annotation

    Creator:
    He, Jun
    Abstract:
    With the development of technologies in genome sequencing and variant detection, a huge number of variants are detected. To further analyze the variants, it requires an efficient tool to annotate the functional effect of variants. This project managed to develop an efficient program to annotate the functional effect of variants...
    Resource Type:
    Capstone Project
    Full Text:
    , Johnson A, Lewis J, Raff M, Roberts K, Walter P, Molecular Biology of the Cell, Garland Science, New York

  • Using provenance to aid document re-finding

    Creator:
    Lonsdale, Heather
    Abstract:
    In the field of Human-Computer Interaction, provenance refers to the complete history and genealogy of a document. Provenance can be useful in identifying related resources, such as different versions of the same document or resources used in the creation of a new document. Though methods of provenance collection and applications...
    Resource Type:
    Masters Thesis

  • 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:
    ) to be well-distributed and according to the distribution P

  • Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

    Creator:
    Rajabi, Arezoo
    Abstract:
    Emergence of highly accurate Convolutional Neural Networks (CNNs) with the capability to process large datasets, has led to their popularity in many applications, including safety/security-sensitive (e.g. disease recognition, self-driving cars). Despite the high accuracy of convolutional neural networks, they have been found to be susceptible to adversarial noise added to...
    Resource Type:
    Dissertation
    Full Text:
    resolution image: min δ ‖δ‖p − dist(hr(Ilr + δ)− I) (2.6) where δ, I, Ilr, hr and dist are adversarial

  • 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

  • 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
    Full Text:
    Mike Bailey and Professor Ronald A. Metoyer. From them I have learned not only cutting-edge graphics