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Filtering by: Creator McManus, M. A. Remove constraint Creator: McManus, M. A. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science File Format pdf Remove constraint File Format: pdf License All rights reserved Remove constraint License: All rights reserved

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  • Shape transformation using compactly supported radial basis functions

    Creator:
    Park, Byungsoo
    Abstract:
    Shape transformation is a technique for gradually changing one geometric shape to another. A recent approach presents the use of thin-plate radial basis functions as opposed to traditional "blobby sphere" implicit functions. Without the explicit evaluation of he energy function, this approach combined the two traditional steps into one by...
    Resource Type:
    Capstone Project
    Full Text:
    of Shape Transformation from a Cow (1001 vertices) to a Bunny ) (1017 vertices). (s=second, m

  • On the domain generalizability of RF fingerprints through multifractal dimension representation

    Creator:
    Johnson, Benjamin
    Abstract:
    RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a possible method for secure device identification and authentication. Traditional approaches are commonly susceptible to the domain adaptation problem where a model trained on data from one domain performs badly when tested on data from a...
    Resource Type:
    Masters Thesis
    Full Text:
    surfaced as a possible method for secure device identification and authentication. Traditional approaches

  • Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

    Creator:
    Aziere, Nicolas
    Abstract:
    This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
    Resource Type:
    Dissertation
    Full Text:
    with a learnable diffusion. Our main contribution in (1) is a new model which integrates convolutional

  • Formal Verification of the Variational Database Management System

    Creator:
    Khan, Fariba
    Abstract:
    Variation in data is abundant and ubiquitous in real-world applications. Managing variation in databases is, however, difficult and has been extensively studied by the database community. Schema evolution, data integration, and database versioning are examples of well-studied forms of database variation with effective context-specific solutions. However, variation appears in different...
    Resource Type:
    Masters Thesis
    Full Text:
    (A: velems) (m: fexp) : (velems):= match A with | nil ⇒ nil | ae x e :: xs ⇒ (ae x (e ∧ (F) m

  • Adversarial Attacks in Natural Language Question-Answering

    Creator:
    Rahurkar, Prachi S.
    Abstract:
    Question Answering in natural language processing has achieved significant progress in recent years. Yet, training and testing set methodology to evaluate the language models has proved inadequate. Adversarial examples aid us in finding loopholes inside these models and provide insights into their inner workings. In this work, an evaluation based...
    Resource Type:
    Masters Thesis
    Full Text:
    examples crafted by humans exposed the weaknesses of the models. This thesis puts forth a typology of the