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 20 of 53 for “"Pattern classification"”.
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Mutual features for pattern classification
… MIA and GMIA is demonstrated on two standard pattern recognition problems: text–independent speaker verification and illumination–independent face recognition. For example, GMIA achieves an equal error rate (EER) of 4.0% in the text–independent speaker verification application on the full …
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LUNG PATTERN CLASSIFICATION VIA DCNN
… (ILD) causes pulmonary fibrosis. The correct classification of ILD plays a crucial role in the diagnosis and treatment process. In this research work, we disclose a lung nodules recognition method based on a deep convolutional neural network (DCNN) and global features, which can be used for …
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Pattern classification of terrain during amputee walking
In this thesis I study the role of extrinsic (sensors placed on the body) versus intrinsic sensing (instruments placed on an artificial limb) and determine a robust set of sensors from physical and reliability constraints for a terrain adaptation in a robotic ankle prosthesis. Further, during this …
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Adaptive learning for event modeling and pattern classification
… the development of automated event modeling and pattern recognition to detect and characterize events of interest and correlate them to the system performance. The fact that the information required to properly evaluate system performance and health is seldom known in advance further exacerbates …
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Advances in fuzzy rule-based system for pattern classification
Pattern classification encompasses a wide range of information processing problems that are of great practical significance, from the classification of handwritten characters, to fault detection in machinery and medical diagnosis. Fuzzy logic system was initially introduced to solve a pattern …
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Image segmentation and pattern classification using support vector machines
Image segmentation and pattern classification have long been important topics in computer science research. Image segmentation is one of the basic and challenging lower-level image processing tasks. Feature extraction, feature reduction, and classifier design based on selected features are the …
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AUTOMATIC PATTERN CLASSIFICATION AND STEREOSCOPIC VISION IN MEDICAL IMAGING
… new methods in two research fields: Automatic Classification of Frames from Wireless Capsule Endoscopy and Depth Estimation in Bronchoscopic Intervention . In both cases the exploration of tubular internal structures of the human body through the analysis of endoscopic images asks for …
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Truck Activity Pattern Classification Using Anonymous Mobile Sensor Data
… to classify trucks by industry based on activity patterns derived from large streams of truck GPS data. The major components are: (1) derivation of truck activity patterns from anonymous GPS traces, (2) development of a classification model to distinguish trucks by industry, and (3) estimation of …
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A general-purpose reduction-intensive feature selector for pattern classification
Feature selection is a critical part of any pattern classification problem. There are many methods for selecting a good set of features. However, for problems where features must be selected from a massive set, most of these methods have accuracy rates that are very low, or computational …
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Using genetic algorithms to select and create features for pattern classification
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1990.
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A trainable image pattern classification system for detection of damaged soybean seeds
Optical properties of asymptomatic soybean seeds, green seeds, and four classes of soybean seeds discolored by fungi were determined using a spectroradiometer. Knowledge of the optical properties of soybean seeds provided a means of identifying that differences in spectral reflectance existed which …
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Imaging Analysis and Deep Learning based approaches for Automated Lung Ultrasound Pattern Classification
… mainly relies on the interpretation of visual patterns. These patterns are visualized as hyper-echoic horizontal and vertical artifacts and hypo-echoic small to large consolidations. To assist clinicians in their analysis, various AI-based methods have been proposed. However, no extensive work …
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Ultrasonic acoustic health monitoring of ball bearings using neural network pattern classification of power spectral density
… acoustic emissions (UAE) to facilitate classification of bearing health via neural networks. This generic approach is applied to classifying the operating condition of conventional ball bearings. The acoustic emission signals used in this study are in the ultrasonic range (20-120 kHz), …
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Heterogeneous Networking for Beyond 3G system in a High-Speed Train Environment. Investigation of handover procedures in a high-speed train environment and adoption of a pattern classification neural-networks approach for handover management
… This study focuses specifically on the use of pattern classification neural networks to aid in the handover process, which is then simulated in MATLAB. The simulation outcomes demonstrated the effectiveness and appropriateness of the NN algorithm and the competence of the algorithm in …
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Autonomic Differentiation of Emotions: A Cluster Analysis Approach
… discrimination of emotion was found via pattern classification analysis replicating findings from previous research. It was theorized that groups of individuals could be identified based upon individual response specificity using cluster analytic techniques. Single cluster solutions for …
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Behavioral and neural effects of training and word class in object and action naming in healthy subjects: Evidence from fMRI
… a recently introduced multivariate searchlight pattern classification method for the analysis of training effects in language studies. We found that, compared to the standard GLM method, the searchlight analysis has comparable and, in some cases, greater sensitivity in localizing BOLD signal …
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Autonomic Patterns of Emotion across Multiple Contexts
… have been several studies employing multivariate pattern classification analytic techniques and calls for those types of studies are still prevalent (Kragel and LaBar, 2014). Although many studies have explored the autonomic specificity of emotions, few have explored what effects the induction …
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Error propagation in pattern recognition systems: Impact of quality on fingerprint categorization
<p>The aspect of quality in pattern classification has recently been explored in the context of biometric identification and authentication systems. The results presented in the literature indicate that incorporating information about quality of the input pattern leads to improved classification …
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Subgradient methods for convex minimization
… system identification, neural networks, pattern classification, and various assignment, scheduling, and allocation problems. To solve convex but not differentiable problems, we have to employ special methods that can work in the absence of differentiability, while taking the advantage of …
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