Search Constraints

Start Over
Filtering by: Creator Meier, Emily K. Remove constraint Creator: Meier, Emily K. Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • LacEDAemon : a programming environment for the multiparadigm language leda

    Creator:
    Pandey, Rajeev K.
    Abstract:
    Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial...
    Resource Type:
    Dissertation
    Full Text:
    root.dvi AN ABSTRACT OF THE THESIS OF Rajeev K. Pandey for the degree of

  • 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
    Full Text:
    dimension [d x k] • X: the image features; this is a matrix of dimension [n x d] extracted from a CNN layer

  • 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:
    semantic perturbation-based method called, k-Randomized Transparent Image Overlays (k-RTIO), and (ii) a

  • Structuring Teachable Knowledge through Program-Concept Classifications

    Creator:
    Wilson, Benjamin F.
    Abstract:
    Teaching CS is a challenging task, especially for those without prior programming experience. Even for veteran educators, having to learn CS concepts while also trying to teach those same concepts is difficult; as is the case for many K-12 CS instructors. Unfortunately, there is often no formalized order with CS...
    Resource Type:
    Masters Thesis
    Full Text:
    ; as is the case for many K-12 CS instructors. Unfortunately, there is often no formalized order with

  • Efficient Public Key Cryptography Frameworks for Emerging IoT Applications

    Creator:
    Ozmen, Muslum Ozgur
    Abstract:
    Internet of Things (IoT) is an integral part of application domains such as smart-home, digital healthcare, smart grid systems and vehicular networks. Various standard public key cryptography techniques (e.g., key exchange, public key encryption, digital signature) are available to provide fundamental security services for IoTs. However, despite their pervasiveness and...
    Resource Type:
    Masters Thesis
    Full Text:
    Authentication with Aggregate Signatures (FAAS), which can transform any single-signer (k-element extraction

  • Implementing a comparative anatomy information system for the foundational model of anatomy and the mouse anatomy ontology

    Creator:
    Diatchka, Kremena S.
    Abstract:
    This thesis describes the implementation of an interface for querying established correspondences between anatomical structures across species. I was the main developer of this query engine, called the Comparative Anatomy Information System. My work involved developing methods to query the knowledge base, perform the specified comparison, display the anatomical hierarchies...
    Resource Type:
    Honors College Thesis
    Full Text:
    6 Emily 7 FULL SYSTEM DESIGN DETAILS 9 Knowledge

  • 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:
    ). Given S , the desired output is to label each Si by a label li ∈ {1, . . . , k}, which indicates which

  • Monte Carlo Tree Search with Fixed and Adaptive Abstractions

    Creator:
    Hostetler, Jesse A.
    Abstract:
    Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...
    Resource Type:
    Dissertation

  • Interactive player tracking for videos in American football

    Creator:
    Bawaskar, Amit
    Abstract:
    This thesis presents an interactive software tool for tracking a moving object in a video. In particular, we focus on the problem of tracking a player in American football videos. Object tracking is one of the fundamental problems in computer vision. It is one of the most important components in...
    Resource Type:
    Masters Thesis
    Full Text:
    interactivity. The interactive feature tracking system in [12] tracks a 20 × 20 image patch. A k-d tree is

  • Window Axial Vision Transformer for Image Classification

    Creator:
    Lee, Jisoo
    Abstract:
    Currently, a popular approach to image classification uses the deep Transformer architecture. In a Transformer, the attention mechanism enables the model to learn efficiently with fewer computational resources than the convolutional neural networks (CNNs). In this thesis, we study the sparse attention mechanism widely used in the Transformers developed specifically...
    Resource Type:
    Masters Thesis
    Full Text:
    formula. After computing the dot products of the query 5 Q with the set of keys K, divide them by the