Index Catalog // ScholarsArchive@OSU

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

Defining leisure and recreation in Malaysia

Creator:: Wong, Jenny Lai Ping
Abstract:: The fundamental aim of this study was to determine how Malaysians define both leisure and recreation. Two ethnic groups, Chinese and Malays, and rural and urban variants of these groups were included in the sample. The other objective was to determine if there were differences in the definitions due to...
Resource Type:: Dissertation
Full Text:: . Defining Leisure and Recreation in Malaysia by Jenny Lai Ping Wong A DISSERTATION submitted to Oregon

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

Local Signal Detection on Irregular Domains with Spatially Varying Coefficient Model

Creator:: Zhang, Chengzhu
Abstract:: In areas such as spatial analysis and time series analysis, it is essential to understand and quantify spatial or temporal heterogeneity. In this dissertation, we focus on a spatially varying coefficient model, in which spatial heterogeneity is accommodated by allowing the regression coefficients to vary in a given spatial domain....
Resource Type:: Dissertation
Full Text:: , Dr. Yuan Jiang, Dr. Lisa Madsen and Dr. Weng-Keen Wong. I acknowledge their service on my committee

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

A study of the effects of a multisensory communicative approach to English language acquisition of kindergarten children in Singapore

Creator:: Lee, Florence G. L.
Abstract:: The purpose of this study was to determine the effects of an experimental approach to English language acquisition among preschool children attending low-cost community kindergartens in Singapore. Group and sex differences in the performance of four language tasks, as well as the effect of the interaction between group and sex...
Resource Type:: Dissertation
Full Text:: studies cited in McLaughlin's review were those conducted by Dulay and Burt (1974) and Wong-Fillmore

ScholarsArchive@OSU

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

Weakly Supervised Learning for Activity Recognition from Time Series Data

Defining leisure and recreation in Malaysia

Bayesian optimization with empirical constraints

Voxel based indirect illumination using spherical harmonics

Local Signal Detection on Irregular Domains with Spatially Varying Coefficient Model

Test Case Reduction, Prioritization, and Selection for Symbolic Execution

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

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

A study of the effects of a multisensory communicative approach to English language acquisition of kindergarten children in Singapore

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