Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Bayesian Classification"”.
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A Bayesian classification framework with label corrections
… data is very important for regression and classification analysis in many cases. However, the data may have an extra layer of complexity with some wrongly labelled data points. The traditional semisupervised analysis doesn’t have the mechanism to treat unlabeled data and mislabeled data at …
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Clustering Response-Stressor Relationships in Ecological Studies
… making. The first approach is an adjusted Bayesian classification and regression tree (ABCART). It is based on the Bayesian classification and regression tree approach (BCART) and is modified to accommodate spatial partitions in ecological studies. The second approach is a Voronoi diagram …
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Recognizing deviations from normalcy for brain tumor segmentation
… via multi-level Markov random fields or iterated Bayesian classification. A simple instantiation of the framework has been implemented to perform preliminary experiments on synthetic and MRI data.
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Development of stainless cardiac histology of clinical biopsy samples with infrared spectroscopy
… infrared spectroscopy coupled with supervised Bayesian classification to identify lymphocytic infiltration and fibrosis in the myocardium in endomyocardial biopsy samples. This classifier was robust and could be easily applied to identify lymphocytes in the tissue and to differentiate between …
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Colour analysis and the classification of fruit
… the fruit automatically via the clustering and classification methods. After investigating several approaches to automatically sort fruit based on colour, an image processing approach was taken. The colours on the fruit (specifically apples) were analyzed, by capturing a colour image of the …
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High-dimensional Multimodal Bayesian Learning
… by these types of datasets. We develop three Bayesian methods: (1) Multilevel Network Recovery for Genomics, (2) Network Recovery for Functional data, and (3) Bayesian Inference in Transformer-based Models. Chapter 2 in our work examines a two-tiered data structure; to simultaneously explore …
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Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting
… appropriate feature selection and probabilistic classification of water leaks and sprays, real-time trajectory estimation, and a feedback controller for error correction in longer-range firefighting. The close proximity suppression algorithm uses IR fire detection IR stereo processing to localize …
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Evaluating the impact of deep-water channel architecture on the probability of correct facies classification using 3D synthetic seismic data
… is accurately predicted by seismic facies classification. Bayesian classification is used to test the probability of correct facies classification from P-impedance and if the classification results are dependent upon architectural styles (e.g., channel element stacking patterns). Model …
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Automated real-time machine learning for IOT for manufacturing a cloud architecture and API
… analytics engines of Outlier Detection and Bayesian Classification, capable of real-time (RT) training and prediction are proposed and analyzed for this architecture. Results show that the training latency for both the Outlier and the Bayesian engines as well as their FL algorithms remained …
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Bayesian Tensor Modeling of High-Dimensional Neuroimaging Data
… First, we introduce a data augmentation-based Bayesian classification model incorporating tensor-valued covariates that achieves dimension reduction and the preservation of spatial information. We propose two data augmentations: a support vector machine (SVM) type of classifier, and a logistic …
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Identification of impulsive interference channels
… This estimator is based on an adaptive, Bayesian classification of each of a sequence of Class A envelope samples as either an impulsive sample or as a background sample. The performance characteristics of this algorithm are investigated, and an appropriately modified version is found to …
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Autonomous Navigation, Perception and Probabilistic Fire Location for an Intelligent Firefighting Robot
… fire environment assessment, and probabilistic classification of fire, smoke and their thermal reflections. The real-time local obstacle avoidance method called the weighted vector method is developed to perceive the local environment through vectors, identify suitable obstacle avoidance modes …
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Improving Emergency Department Patient Flow Through Near Real-Time Analytics
… associated with patient admission prediction misclassification as well as costs associated with incorrectly selecting the reservation time.</p> <p>To achieve the objective of this work, we also addressed two secondary objectives: first, development of models to predict the admission likelihood …
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Detection and tracking of vanishing points in dynamic environments : Detección y seguimiento de puntos de fuga en entornos dinámicos
… complex procedures, which are based on recursive Bayesian classification and model fitting. Finally, the required conditions for the rectification of planes using vanishing points are determined, together with an evaluation of the recovered geometric properties of the plane according to the …
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Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties
This thesis explores the use of the Naïve Bayesian classifier as a method of determining high-level information about secondary users in a Dynamic Spectrum Access (DSA) network using a low complexity channel sensing method. With a growing number of users generating an increased demand for broadband …
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Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification
This thesis introduces a multi-Bayesian framework for detection and classification of features in environments abundant with error-inducing noise. The approach takes advantage of Bayesian correction and classification in three distinct stages. The corrective scheme described here extracts useful …