Index Catalog // ScholarsArchive@OSU

Creator:: Moore, Travis W.
Abstract:: Many large-scale data analysis applications involve data that can vary over both time and space. Often the primary goal of analyzing spatiotemporal data is identifying trends, movements, and sudden changes with respect to time, location, or both. This can include a variety of applications in economics (housing prices, unemployment, job...
Resource Type:: Dissertation
Full Text:: data. To this end, I have developed two different approaches for dealing with data uncertainty in

Creator:: Zhang, Wenpeng
Abstract:: Alignment of genomic sequences from different species is becoming an increasingly powerful method in biology, and is being used for many purposes. The result of sequence alignments is a list of pairs of matched locations between the pattern string and the text string. However, without any proper visualization tools to...
Resource Type:: Capstone Project
Full Text:: September 24, 2004 Commencement June 2005 111 ACKNOWLEDGEMENT I would like to thank my major

Creator:: Lertsutthiwong, Monchai
Abstract:: We investigate a number of techniques for increasing throughput and quality of media applications over wireless networks. A typical media communication application such as video streaming imposes strict requirements on the delay and throughout of its packets, which unfortunately, cannot be guaranteed by the underlying wireless network due inherently to...
Resource Type:: Dissertation
Full Text:: School I understand that my thesis will become part of the permanent collection of Oregon State

Creator:: Cross, James Henry, III
Abstract:: Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...
Resource Type:: Dissertation
Full Text:: Graduate School I understand that my dissertation will become part of the permanent collection of Oregon

Creator:: Zhao, Kai
Abstract:: Most tasks in natural language processing (NLP) try to map structured input (e.g., sentence or word sequence) to some form of structured output (tag sequence, parse tree, semantic graph, translated/paraphrased/compressed sentence), a problem known as “structured prediction”. While various learning algorithms such as the perceptron, maximum entropy, and expectation-maximization have...
Resource Type:: Dissertation
Full Text:: Electrical Engineering and Computer Science Dean of the Graduate School I understand that my dissertation

Creator:: Wu, Wenxuan
Abstract:: As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
Resource Type:: Dissertation
Full Text:: School I understand that my dissertation will become part of the permanent collection of Oregon State

Creator:: Krantz, Jacob
Abstract:: Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
Resource Type:: Dissertation
Full Text:: Electrical Engineering and Computer Science Dean of the Graduate School I understand that my dissertation

ScholarsArchive@OSU