Browsing by Thesis Department "Computer science (MU)"
Now showing items 1-20 of 342
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3D city scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2018)3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a ... -
3D genome structure reconstruction from chromosomal contact data
(University of Missouri--Columbia, 2017)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Different cell types of an organism have the same DNA sequence, but they can function differently because their difference in 3D organization allows ... -
Accurate, fast, and robust 3D city-scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2021)Multi-view stereopsis (MVS) is a core problem in computer vision, which takes a set of scene views together with known camera poses, then produces a geometric representation of the underlying 3D model Using 3D reconstruction ... -
Acoustic feature-based sentiment analysis of call center data
(University of Missouri--Columbia, 2017)With the advancement of machine learning methods, audio sentiment analysis has become an active research area in recent years. For example, business organizations are interested in persuasion tactics from vocal cues and ... -
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), ... -
Activity identification from animal GPS tracks with spatial temporal clustering method DDB-SMoT
(University of Missouri--Columbia, 2016)With various GPS devices or services growing rapidly, large amount of GPS track- ing data has been collected, both for human beings and wild animals. However, the raw GPS data cannot directly provide us with any valuable ... -
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 ... -
Adaptive clustering and transmission range adjustment for topology control in wireless sensor networks
(University of Missouri--Columbia, 2006)A wireless sensor network (WSN) is characterized by a limited energy supply and a large number of nodes. Topology control (TC) as one of the main ways to control energy consumption in WSNs has been the focus of a considerable ... -
An adaptive non-polling HCCA mechanism for streaming video QOS in IEEE 802.11E network
(University of Missouri--Columbia, 2011)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Deployment of wireless networks has risen rapidly in the last decade thanks to their convenience and flexibility. Meanwhile, multimedia service has ... -
Adaptive open-set active learning with distance-based out-of-distribution detection for robust task-oriented dialog systems
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] The advancements in time-efficient data collection techniques such as active learning (AL) have become salient for user intent classification performance in task-oriented dialog systems (TODS). ... -
Advance : adversarial collaborative learning for detection and verification of artificially created examples
(University of Missouri--Columbia, 2023)Adversarial learning methods have gained significant popularity in generating deceptive yet convincingly authentic data. While these techniques have proven beneficial for advancing artificial intelligence, they also give ... -
Advancing space-borne computational vision for rare object mapping
(University of Missouri--Columbia, 2024)[EMBARGOED UNTIL 08/01/2025] This work investigates and proposes solutions to common challenges in remote sensing for mapping rare targets. The first part focuses on the classification and precise localization of rare ... -
Adversarial robustness of deep learning enabled industry 4.0 prognostics
(University of Missouri--Columbia, 2020)The advent of Industry 4.0 in automation and data exchange leads us toward a constant evolution in smart manufacturing environments, including extensive utilization of Internet-of-Things (IoT) and Deep Learning (DL). ... -
Algorithm design and error analysis of quantized RSSI based localization in wireless sensor networks
(University of Missouri--Columbia, 2007)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Wireless Sensor Network localization is an important aspect in sensor network applications such as tracking and monitoring. The general goal of ... -
Algorithm for computation and visualization of weighted constrained Voronoi diagrams
(University of Missouri--Columbia, 2009)A weighted Voronoi diagram (WVD) has been developed in order to regionalize or allocate space around a predetermined set of points or generators for the case that generator points have different weights reflecting their ... -
An algorithm for the automatic construction of Bayesian networks with limited domain knowledge, as applied to the prediction of economic and development indicators of 248 countries and world regions
(University of Missouri--Columbia, 2016)Humans have a natural tendency to express knowledge in terms of generalities, instead of individually measurable variables. However, to make for computers to make sense of a domain, information must be expressed in terms ... -
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. ... -
Analysis of audio data to measure social interaction in the treatment of autism spectrum disorder using speaker diarization and identification
(University of Missouri--Columbia, 2021)Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects communication and behavior in social environments. Some common characteristics of a person with ASD include difficulty with communication or ... -
Analysis of host-pathogen interactions via clustering, statistical analysis, and data visualization
(University of Missouri--Columbia, 2015)Infectious diseases are caused by a variety of agents: viruses, bacteria, parasites, or even proteins. Using existing state-of-the-art methods and tools I developed myself, I studied aspects of infectious agents. To find ... -
Analysis of the enzymatic network
(University of Missouri--Columbia, 2005)A biochemical network is very large, complex system with very diverse components. In order to study the behavior of networks, the first step is to study their architecture. Studying network architecture raises many basic ...