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Filtering by: Creator Wong, Yueh-Mei Remove constraint Creator: Wong, Yueh-Mei Decade 2010-2019 Remove constraint Decade: 2010-2019

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  • WAVE~Ripples for Change Obesity 2-y Intervention in High School Soccer Players : Program Impact on Diet and Physical Activity, Process Evaluation, Best Practices, and Youth Engagement

    Creator:
    Meng, Yu
    Abstract:
    Childhood obesity prevalence is significantly higher among adolescent 12-19 years old than younger age groups. Youth athletes are overlooked by childhood obesity prevention programs. WAVE~Ripples for Change (WAVE) program is a 2-y obesity prevention intervention with high school (HS) soccer players (14-19y) using a mixed virtual- and physical-world learning environment...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: ______________________________________________________ Siew Sun Wong Childhood

  • Weakly Supervised Learning for Activity Recognition from Time Series Data

    Creator:
    Guan, Xinze
    Abstract:
    The thesis focuses on activity recognition from sensor data, which has spurred a great deal of interest due to its impact on health care and security. Previous work on activity recognition from multivariate time series data has mainly applied supervised learning techniques which require a high degree of annotation effort...
    Resource Type:
    Dissertation
    Full Text:
    Learning for Activity Recognition from Time Series Data Abstract approved: Weng-Keen Wong Raviv Raich

  • Classifier Chains for Multi-Label Classification with Incomplete Labels

    Creator:
    Almuallim, Jafer
    Abstract:
    Many methods have been explored in the literature of multi-label learning, ranging from simple problem transformation to more complex method that capture correlation among labels. However, mostly all existing works do not address the challenge with incomplete label data. The goal of this project is to extend the work of...
    Resource Type:
    Capstone Project
    Full Text:
    Mei, and Hong-Jiang Zhang. Correlative multi-label video annotation. In Proceedings of the 15th

  • 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:
    of experiments based on MEI

  • 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

  • Test Case Reduction, Prioritization, and Selection for Symbolic Execution

    Creator:
    Zhang, Chaoqiang
    Abstract:
    Software testing is of critical importance for the success of software projects. Current inefficient testing methods often still take up half or more of a software project's budget. Automatic test data generation is the most promising way to lower the software testing cost. Manually creating testing data is expensive and...
    Resource Type:
    Dissertation
    Full Text:
    : Weng-Keen Wong, Carlos Jensen, Xiaoli Fern, Maggie Niess, and Martin Erwig. Finally, none of this

  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation

  • A probabilistic framework and algorithms for modeling and analyzing multi-instance data

    Creator:
    Behmardi, Behrouz
    Abstract:
    Multi-instance data, in which each object (e.g., a document) is a collection of instances (e.g., word), are widespread in machine learning, signal processing, computer vision, bioinformatic, music, and social sciences. Existing probabilistic models, e.g., latent Dirichlet allocation (LDA), probabilistic latent semantic indexing (pLSI), and discrete component analysis (DCA), have been...
    Resource Type:
    Dissertation

  • Alexithymia in Men: How and When Do Emotional Processing Deficiencies Occur?

    Creator:
    Levant, Ronald F., Allen, Philip A., and Lien, Mei-Ching
    Abstract:
    The present study extended existing research on alexithymia in men, investigating whether the deficit in processing emotions occurs early in the process, as a result of dissociation or repression, or later, as a result of suppression. We also examined the assumption in Levant’s (2011) normative male alexithymia hypothesis that men...
    Resource Type:
    Article
    Full Text:
    Processing Deficiencies Occur?” Ronald F. Levant1 Philip A. Allen The University of Akron Mei

  • Visual Information Processing From Multiple Displays

    Creator:
    Johnston, James C., Ruthruff, Eric, and Lien, Mei-Ching
    Abstract:
    OBJECTIVE: In this study, we examined how effectively people can monitor new stimuli on a peripheral display while carrying out judgments on an adjacent central display. BACKGROUND: Improved situation awareness is critical for improved operator performance in aviation and many other domains. Given the limited extent of foveal processing, acquiring...
    Resource Type:
    Article
    Full Text:
    morphing into Cock- pit Situation Displays (Granada, Dao, Wong, Johnson, & Battiste, 2005), which augment