Index Catalog // ScholarsArchive@OSU

Gray codes and their applications

Creator:: Anantha, Madhusudhanan
Abstract:: An n-bit Gray code is an ordered set of all 2n binary strings of length n. The special property of this listing is that Hamming distance between consecutive vectors is exactly 1. If the last and first codeword also have a Hamming distance 1 then the code is said to...
Resource Type:: Dissertation
Full Text:: for the degree of Doctor of Philosophy in Computer Science presented on June 1, 2007. Title: Gray

Analysis of Convolutional Neural Network Image Pre-processing Methods

Creator:: Jacobsen, Matthew
Abstract:: Oceanic plankton have both a large impact on our oceans health and atmo- spheric balance of Co2. The overall health of planktonic life is determined by many physical, chemical, and ecological factors, that drive taxonomic abundances and the relative amount of non-living biomass called detritus. Recent advances in microscopic imaging...
Resource Type:: Honors College Thesis
Full Text:: Matthew Jacobsen A THESIS submitted to Oregon State University Honors College in partial fulfillment

Counterfactual States for Atari Agents via Generative Deep Learning

Creator:: Olson, Matthew L.
Abstract:: Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
Resource Type:: Masters Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Matthew Lyle Olson for the

Characterizing and Addressing Dataset Shift with Deep Learning

Creator:: Olson, Matthew L.
Abstract:: This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Matthew L

User Interface and Database for the Intuitive, Developmental And Research Oriented, Easy To Use, Affordable, And Low Volume (IDEAL) Bioreactor

Creator:: Litzinger, Jaelyn W.
Abstract:: Expensive pricing for laboratory bioreactors proves to be the main barrier-to-entry for lab-scale academic research. Most laboratory bioreactors are priced at $100K+ and require significant training to use, thereby limiting their accessibility. The IDEAL (Intuitive, Developmental And Research Oriented, Easy To Use, Affordable, And Low Volume) Bioreactor aims to solve...
Resource Type:: Honors College Thesis
Full Text:: Research Oriented, Easy To Use, Affordable, And Low Volume (IDEAL) Bioreactor By Jaelyn W. Litzinger A

Separabilities for a new class of gray codes

Creator:: Park, Jung Pil
Resource Type:: Capstone Project
Full Text:: Separabilities for a New Class of Gray Codes By

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

Creator:: Meyn, Matthew
Abstract:: Automatic music transcription (AMT) is the task, given an acoustic representation of music, to recover a symbolic notation of the written notes expressed by the sound. Transcribing music with multiple notes sounding simultaneously is difficult for both humans and machines. Much existing work on AMT has focused on suitable acoustic...
Resource Type:: Capstone Project
Full Text:: AN ABSTRACT OF THE PROJECT REPORT OF Matthew Meyn for

A collaborative filtering algorithm and evaluation metric that accurately model the user experience

Creator:: McLaughlin, Matthew
Abstract:: "Collaborative filtering algorithms’ performances have been evaluated using a variety of metrics. These metrics, such as Mean Absolute Error and Precision, have often ignored recommendations for which they do not have data. Ignoring these recommendations has provided numbers which do not accurately represent the user experience. Qualitatively we have seen...
Resource Type:: Capstone Project
Full Text:: user u, let w(a,u) be the Pearson-Correlation between user a and user u. After computing the

3D Voronoi Subdivision for Simulating Destructible and Granular Materials

Creator:: Clothier, Matthew M.
Abstract:: In many traditional computer graphics applications, rendered scenes typically utilize 3D meshes to represent objects within an environment. As the demand to further improve the realism of graphics applications increases, such as for movies and games, it is becoming more important to represent the inner volumes of object meshes. In...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Matthew

Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

Creator:: Mathew, Anju
Abstract:: Ornithology is an exciting field with novel research emerging everyday. Researchers in bioacoustics often spend hours within the wilderness recording bird calls to analyze later in their lab. The burden of sifting through hours of audio recordings from the field continues to remain a time-consuming and manual task, despite the...
Resource Type:: Honors College Thesis
Full Text:: of Electrical Engineering and Computer Science Matthew Orr, Committee Member, representing

ScholarsArchive@OSU

Gray codes and their applications

Analysis of Convolutional Neural Network Image Pre-processing Methods

Counterfactual States for Atari Agents via Generative Deep Learning

Characterizing and Addressing Dataset Shift with Deep Learning

User Interface and Database for the Intuitive, Developmental And Research Oriented, Easy To Use, Affordable, And Low Volume (IDEAL) Bioreactor

Separabilities for a new class of gray codes

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

A collaborative filtering algorithm and evaluation metric that accurately model the user experience

3D Voronoi Subdivision for Simulating Destructible and Granular Materials

Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

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