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Temporal mining framework for risk reduction and early detection of chronic diseases
(University of Missouri--Columbia, 2010)
Chronic diseases significantly affect the quality of life of over 25 million Americans and are among the most common health problems. Due to the complexity of these diseases, it is difficult for clinicians to analyze trends ...
Decoder-learning based distributed source coding for high-efficiency, low-cost and secure multimedia communications
(University of Missouri--Columbia, 2008)
, therefore it is desired to shift the bulk of computational burden to the decoder side. The resulting new coding paradigm is called distributed source coding (DSC). Most practical DSC schemes only achieve good results when a priori knowledge about the source...
Statistical optimization of acoustic models for large vocabulary speech recognition
(University of Missouri--Columbia, 2006)
model in each HMM state is an additive model of homogeneous functions (Gaussians). It provides a new scheme which can jointly optimize model structure and parameters. Experiments are conducted on the World Street Journal (WSJ) task and good improvements...
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, ...
Experimental study of localization in sensor networks and design of adaptive localization algorithms
(University of Missouri--Columbia, 2005)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We design an experimental framework to evaluate localization methods for sensor networks. We use this framework to evaluate three existing localization ...
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)
There is a popular saying, "Stress kills." This statement can be true with repeated exposures to psychological mood dysregulation, which can lead to or worsen stress related conditions such as heart disease and cancer. ...
Out-of-core image techniques with extensions for WAMI
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Out-of-core image techniques provide for interactive visualization, analysis, and processing of extremely large images exceeding primary memory. This ...
Machine-aided analysis of vote privacy using computationally complete symbolic attacker
(University of Missouri--Columbia, 2019)
Security protocols employ cryptographic primitives such as encryption and digital signatures to provide security guarantees of confidentiality and authenticity in the presence of malicious attackers. Due to the complexities ...
Fast and adaptive H.264/AVC video coding for network based applications
(University of Missouri--Columbia, 2009)
. Experiments are performed to test and validate the proposed algorithms. The results show that the proposed algorithms provide efficient solutions to the above problems and facilitate H.264/AVC coding standard for practical deployment....
DiffServ overlay multicast for videoconferencing
(University of Missouri--Columbia, 2005)
In this dissertation a framework for implementing videoconference in a DiffServ network (DiffServ Overlay Multicast) is proposed. DiffServ Overlay Multicast uses an overlay multicast algorithm for calculating the multicast ...
Combining shamir and additive secret sharing to improve efficiency of SMC primitives against malicious adversaries
(University of Missouri--Columbia, 2020)
Secure multi-party computation provides a wide array of protocols for mutually distrustful parties be able to securely evaluate functions of private inputs. Within recent years, many such protocols have been proposed ...
Privacy-preserving collaboration in an integrated social environment
(University of Missouri--Columbia, 2021)
and communication complexities of the protocols proposed and empirically test them on real-world datasets. These solutions provide functional efficiency and data utility for practical applications to an extent....
Multi-source ontology-based maize phenotype search engine
(University of Missouri--Columbia, 2009)
In the midst of this genomics era, major plant genome databases are collecting massive amounts of heterogeneous information, including sequence data, gene product information, as well as images and descriptions of mutant ...