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Design of learning objects to support constructivist learning environments
(University of Missouri--Columbia, 2005)
Using Constructivism to guide the design of learning objects, we develop a generic structure that classifies knowledge into different types on different levels. With a simple generic structure of learning object, learners can easily share knowledge...
An application of machine learning techniques to interactive, constraint-based search
(University of Missouri--Columbia, 2005)
Search engine users frequently place additional constraints on search results that are not included in the user's original query. To respond to these additional constraints, search engine designers frequently add an "advanced ...
Feasibility of the nintendo Ds for teaching problem-based learning in kindergarten through twelfth grade students
(University of Missouri--Columbia, 2008)
Problem-based learning (PBL) is an instructional approach that has been employed successfully since the 1960s and continues to gain mainstream acceptance in many areas of study. PBL is an instructional, and curricular, learner-centered approach...
Fine-grained authorization in the Great Plains network virtual organization
(University of Missouri--Columbia, 2007)
The last few years have experienced a steady growth in research institutions showing interest in developing research projects that involve more than one institution's computing resources forming so called virtual organizations. ...
Architecting the spatial enablement of a film location database for enhanced geographic analysis and query
(University of Missouri--Columbia, 2009)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The Missouri Film Commission hosts data and resources that producers of film and video need in order to choose locations. This data includes only text-based information...
Firefly : web-based interactive tool for the visualization and validation of image processing algorithms
(University of Missouri--Columbia, 2009)
Image analysis, in computer science, is defined as the process of extracting useful data from digital images for the purpose of accomplishing a goal. Examples of this might include tracking objects in satellite imagery or finding edges of a vessel...
Transcoding transport stream mpeg2
(University of Missouri--Columbia, 2007)
Video conferencing provides students with the opportunity to remotely attend classes and participate in a 2-way communication with the teacher. Nuclear Science and Engineering Institute at the University of Missouri - Columbia has been using VBrick...
Clinical content tracking system: an efficient request tracking via a graphical user interface
(University of Missouri--Columbia, 2007)
. Moreover, a working product can be made of a request in a relatively faster pace. CCTS, the ability of gathering, computing and analyzing data with just a few clicks is very feasible. This will facilitate gathering information and transform data...
Mining progressive user behavior for e-commerce using virtual reality technique
(University of Missouri--Columbia, 2007)
behavior through VR tools, and 3) vast amount of information to mine and efficient summarization of the results to guide user's navigation. To overcome these obstacles, several techniques from the fields of Information Retrieval and Data Mining & Knowledge...
Decoder-learning based distributed source coding for high-efficiency, low-cost and secure multimedia communications
(University of Missouri--Columbia, 2008)
statistics is assumed. For DSC of real-world sources such as images and videos, such knowledge is not really available. In this dissertation, we focus on designing decoder-side learning schemes for better understanding of the source statistics, based on which...
Statistical optimization of acoustic models for large vocabulary speech recognition
(University of Missouri--Columbia, 2006)
and the HMM gradient boosting algorithm. Investigations are conducted to applying both methods to improve word error rate of the state-of-the-art speech recognition system. However, these two methods are developed in a general machine learning background...
A novel framework for protein structure prediction
(University of Missouri--Columbia, 2007)
Proteins are one of the most important molecules in the life processes. The structure of a protein is essential in understanding the function of a protein at the molecular level. Due to rapid progress in sequencing technologies, the gap between...
Estimation and tracking of elder activity levels for health event prediction
(University of Missouri--Columbia, 2009)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Significant declines in quality of life for elders in assisted living communities are typically triggered by health events. Given the necessary information, such events can...
Bioinformatics methods for protein identification using peptide mass fingerprinting data
(University of Missouri--Columbia, 2009)
Protein identification using mass spectrometry is an important yet partially solved problem in the study of proteomics during the post-genomic era. The major techniques used in mass spectrometry are Peptide Mass Fingerprinting ...
Content extraction, analysis, and retrieval for plant visual traits studies
(University of Missouri--Columbia, 2008)
In recent years, automatic content extraction, analysis and retrieval for plant visual trait studies play a more important role than ever before, because traditional manual processing suffers two major issues: excessive ...
Language modeling for automatic speech recognition in telehealth
(University of Missouri--Columbia, 2005)
Standard statistic n-gram language models play a critical and indispensable role in automatic speech recognition (ASR) applications. Though helpful to ASR, it suffers from a practical problem when lacking sufficient in-domain ...
Genome scale meta analysis of microarrays for biological inferences
(University of Missouri--Columbia, 2009)
In this present era of high-throughput technologies, meta-analysis is being widely used to integrate multiple similar high throughput studies. Here we propose a novel framework for applying meta-analysis techniques on expression data for gene...
Adaptive bilateral extensor for image interpolation
(University of Missouri--Columbia, 2006)
A novel algorithm for image interpolation, referred to as adaptive bilateral extensor interpolation, is proposed in this thesis. It combines useful features of an extensor based algorithm, utilizing a non-linear mapping ...
Full similarity-based page ranking
(University of Missouri--Columbia, 2008)
The World Wide Web creates many new challenges to information retrieval. The sheer mass and almost anarchic structure of the Web makes effective search difficult. Some good search engine alleviate the problem to some extent by ranking the search...
A compact representation for 3D animation using octrees and affine transformation
(University of Missouri--Columbia, 2009)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] We present a new and compact 3D representation for non-rigid objects using motion vectors between two consecutive frames. Our method relies on an ...