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An exploration of composite language modeling for speech recognition
(University of Missouri--Columbia, 2013)
Language models are one of the most critical knowledge sources of automatic speech recognition (ASR) systems. In the past decades, many language models have been developed, and some have proved useful and successful in ...
Exact physics-based modeling and animation of highly flexible 1D mechanical systems
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this thesis, we present a geometrically exact beam theory and a corresponding displacement-based finite-element model for modeling, analysis and ...
Single view reconstruction and camera calibration using 2D room scene image
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Single view reconstruction is a fundamental problem in computer vision. One aim is to automatically reconstruct 3D model from a single view 2D room ...
Comparing TCP-IPv4TCP-IPv6 network performance
(University of Missouri--Columbia, 2013)
The Internet Protocol version 4 (IPv4) has been the backbone of the Internet since its inception. The growth and success of the Internet has accelerated the consumption of the IPv4 address space and hence its exhaustion ...
Active labeling in deep learning and its application to emotion prediction
(University of Missouri--Columbia, 2013)
Recent breakthroughs in deep learning have made possible the learning of deep layered hierarchical representations of sensory input. Stacked restricted Boltzmann machines (RBMs), also called deep belief networks (DBNs), ...
Geo-tagging and privacy-preservation in mobile cloud computing
(University of Missouri--Columbia, 2013)
With the emerge of the cloud computing service and the explosive growth of the mobile devices and applications, mobile computing technologies and cloud computing technologies have been drawing significant attentions. Mobile ...
Application of deep learning networks to crime prediction
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Crimes are a major public concern in cities. Every day, a tremendous amount of law enforcement and policemen have been assigned to patrol and protect ...
Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement
(University of Missouri--Columbia, 2013)
To computationally obtain an accurate prediction of the three-dimensional structure of a protein from its primary sequence is one of the most important problems in bioinformatics and has been actively researched for many ...
LIDAR data classification and compression
(University of Missouri--Columbia, 2013)
Airborne Laser Detection and Ranging (LIDAR) data has a wide range of applications in agriculture, archaeology, biology, geology, meteorology, military and transportation, etc. LIDAR data consumes hundreds of gigabytes in ...
Predicting protein residue-residue contacts and disorder
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Predicting a protein's three dimensional structure from its corresponding sequence has long been an extremely important and challenging problem in the ...
On cross-domain social semantic learning
(University of Missouri--Columbia, 2013)
Approximately 2.4 billion people are now connected to the Internet, generating massive amounts of data through laptops, mobile phones, sensors and other electronic devices or gadgets. Not surprisingly then, ninety percent ...
Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction
(University of Missouri--Columbia, 2013)
Protein sequence and profile alignment has been used essentially in most bioinformatics tasks such as protein structure modeling, function prediction, and phylogenetic analysis. We designed a new algorithm MSACompro to ...
Preconditioned conjugate gradient solver for structural problems
(University of Missouri--Columbia, 2013)
Matrix solvers play a crucial role in solving real world physics problem. In engineering practice, transition analysis is most often used, which requires a series of similar matrices to be solved. However, any specific ...