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Shape reconstruction from volumetric images
(University of Missouri--Columbia, 2008)
This thesis presents the research algorithms and techniques applied to three volumetric image problems(1) high quality mesh reconstruction from distance field volumetric data, (2) distance field surface approximation from ...
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 ...
Domain-concept mining : an efficient on-demand data mining approach
(University of Missouri--Columbia, 2008)
Traditional brute-force association mining approaches, when applied to large datasets, are thorough but inefficient due to computational complexity. A low global minimum probability threshold can worsen this complexity by ...
Knowledge-driven multidimensional indexing for content-based information retrieval
(University of Missouri--Columbia, 2008)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Media data are being generated at rates unimaginable only years ago. We face challenges in providing efficient and accurate access to media content, ...
Decoder-learning based distributed source coding for high-efficiency, low-cost and secure multimedia communications
(University of Missouri--Columbia, 2008)
Conventional multimedia compression leverages the source statistics at the encoder side. This is not suitable for some emerging applications such as wireless sensor networks, where the encoders usually have limited ...
A new adaptive framework for collaborative filtering prediction
(University of Missouri--Columbia, 2008)
Collaborative filtering is one of the most successful techniques for recommendation systems and has been used in many commercial services provided by major companies including Amazon, TiVo and Netflix. In this project we ...
Optimization of a software-only H.264 encoder
(University of Missouri--Columbia, 2008)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] With the booming of semiconductor and information technology, digital video have become more popular than ever. The large volume nature of video data ...
Knowledge representation and exchange of visual patterns using semantic abstractions
(University of Missouri--Columbia, 2008)
Modern technology enables organizations to build large-scale data repositories. The utility of such repositories, however, is limited if they don't support exible methods of extracting knowledge, especially for image ...
On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem
(University of Missouri--Columbia, 2008)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Examination of the behavior of Generalized Covariance Union (GCU) reveals a previously unsuspected superficial relationship to the problem of finding ...
Bounded rationality for BitTorrent networks
(University of Missouri--Columbia, 2008)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] As peer-to-peer networking has becoming a focus in the global networking realm, peer-to-peer distributed systems have been through rapid developments ...
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, ...
Ensemble methods in large vocabulary continuous speech recognition
(University of Missouri--Columbia, 2008)
Combining a group of classifiers and therefore improving the overall classification performance is a young and promising direction in Large Vocabulary Continuous Speech Recognition (LVCSR). Previous works on acoustic ...
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 ...