Browsing Electrical Engineering and Computer Science electronic theses and dissertations (MU) by Thesis Advisor "Keller, James M."
Now showing items 1-20 of 26
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Advances in transfer learning methods based on computational intelligence
(University of Missouri--Columbia, 2020)Traditional machine learning and data mining have made tremendous progress in many knowledge-based areas, such as clustering, classification, and regression. However, the primary assumption in all of these areas is that ... -
Automatic detection of explosive devices in infrared imagery using texture with adaptive background mixture models
(University of Missouri--Columbia, 2011)Infrared cameras can be used to image unpaved roads containing buried explosive hazards where detection relies upon differences between settled and disturbed soil in addition to thermal emissivity. Used is a variation of ... -
Automatic explosive hazard detection in FL-LWIR and FL-GPR data
(University of Missouri--Columbia, 2012)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Detection of land mines and other buried explosive hazards, has been, and continues to be, a serious issue for military and civilian organizations. A ... -
Clustering in relational data and ontologies
(University of Missouri--Columbia, 2010)This dissertation studies the problem of clustering objects represented by relational data. This is a pertinent problem as many real-world data sets can only be represented by relational data for which object-based clustering ... -
Combining activities of daily living and scene understanding for continuous assessment of behavior patterns using depth data
(University of Missouri--Columbia, 2014)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Research has shown the importance of monitoring behavior patterns of older adults over extended time periods to detect and deviations. These deviations ... -
Detecting explosive hazards in 3D radar imaging through slice based feature extraction and sequential learning
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This thesis provides the history and framework of detecting explosive hazards from three-dimensional radar by extracting features through a slice-based ... -
Early detection of health changes in the elderly using in-home multi-sensor data streams
(University of Missouri--Columbia, 2022)The rapid aging of the population worldwide requires increased attention from health care providers and the entire society. For the elderly to live independently, many health issues related to old age, such as frailty and ... -
An evolutionary framework for matching geospatial object configurations
(University of Missouri--Columbia, 2012)This thesis presents a framework for modeling and comparing the spatial configuration of sets containing two-dimensional geospatial objects. This situation can arise in the conflation of a hand or machine drafted map to a ... -
Experimental study of random projections below the JL limit
(University of Missouri--Columbia, 2015)Random projection is a method used to reduce dimensionality of desired objects with pair-wise distances preserved at a relatively high probability. The mathematical theory behind this is called the Johnson-Lindenstrauss ... -
The family of sequential possibilistic one-mean clustering algorithms
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The possibilistic c-means (PCM) was developed as an extension of the fuzzy c-means (FCM) clustering algorithm by abandoning the membership sum-to-one ... -
Fractal Analysis of Seafloor Textures for Target Detection in Synthetic Aperture Sonar Imagery
(University of Missouri--Columbia, 2018)Fractal analysis of an image is a mathematical approach to generate surface related features from an image or image tile that can be applied to image segmentation and to object recognition. In undersea target countermeasures, ... -
The histogram of partitioned localized image textures
(University of Missouri--Columbia, 2017)In the field of machine learning and pattern recognition, texture has been a prominent area of research. Humans are uniquely equipped to distinguish texture; however, computers are more equipped to automate the process. ... -
Linguistic summarization of human activity
(University of Missouri--Columbia, 2010)The thesis advanced herein is that linguistic summarization is essential for the reliable succinct modeling and inference of human activity. It is also asserted that the inherent and unavoidable uncertainty is linguistic ... -
Multicriteria pathfinding in uncertain simulated environments
(University of Missouri--Columbia, 2018)Multicriteria decision-making problems arise in all aspects of daily life and form the basis upon which high-level models of thought and behavior are built. These problems present various alternatives to a decision-maker, ... -
Recognition of sleep stages from sensor data
(University of Missouri--Columbia, 2015)Sleep is an essential activity for humans. It affects our physical and mental health. So monitoring sleep continuously can help detect any changes in sleep patterns that may be caused by sleep disorders or other diseases. ... -
Sleep stage classification using hydraulic bed sensor
(University of Missouri--Columbia, 2018)Sleep monitoring can help physicians diagnose and treat sleep disorders. Polysomnography(PSG) system is the most accurate and comprehensive method widely used in sleep labs to monitor sleep. However, it is expensive and ... -
Study on the improvement of the FCM algorithm based on evolutionary algorithms
(University of Missouri--Columbia, 2016)The Fuzzy C-Means (FCM) is a widely used clustering algorithm in unsupervised learning. It always converges to an optimum solution very quickly, thanks to its alternating optimization (AO) strategy. However, this AO strategy ... -
A system for change detection and human recognition in voxel space using stereo vision
(University of Missouri--Columbia, 2010)Image space change detection algorithms do not adequately address the complexities in real-world dynamic environments. With few exceptions, these algorithms rely on pixel-level information to detect proper foreground change. ... -
Target detection with morphological shared-weight neural network : different update approaches
(University of Missouri--Columbia, 2018)Neural networks are widely used for image processing. Of these, the convolutional neural network (CNN) is one of the most popular. However, the CNN needs a large amount of training data to improve its accuracy. If training ... -
A temporal analysis system for early detection of health changes
(University of Missouri--Columbia, 2014)To make it possible for elders to live independently at home and yet get help from health care providers when small changes in health conditions take place, smart home technologies are developed to enhance safety and monitor ...