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Relevant bibliographies by topics / Neural networks (Computer science) Imaging systems Image processing / Dissertations / Theses

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Dissertations / Theses on the topic 'Neural networks (Computer science) Imaging systems Image processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Perry, Stuart William. "Adaptive image restoration perception based neural network models and algorithms /." Connect to full text, 1998. http://hdl.handle.net/2123/389.

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Thesis (Ph. D.)--University of Sydney, 1999.<br>Title from title screen (viewed Apr. 16, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Electrical and Information Engineering, Faculty of Engineering. Degree awarded 1999; thesis submitted 1998. Includes bibliography. Also available in print form.

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2

Vieira, Neto Hugo. "Reconhecimento automático de impressões digitais utilizando wavelets e redes neuronais artificiais." Centro Federal de Educação Tecnológica do Paraná, 1998. http://repositorio.utfpr.edu.br/jspui/handle/1/643.

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CNPq, CAPES<br>Este trabalho propõe uma nova abordagem para o reconhecimento automático de impressões digitais. Diferentemente das técnicas tradicionais, baseadas na análise de peculiaridades relativas aos padrões de impressão digital e em algoritmos de busca dedicados especialmente a esse fim, é sugerida uma metodologia com base em ferramentas de representação de sinais e em modelos de classificação conexionistas. Basicamente, a metodologia aqui proposta fundamenta-se em duas técnicas principais: o padrão de compressão wavelet para impressões digitais especificado pelo FBI como método de extr

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3

Brewer, Michael Robert. "Neural networks for meteorological satellite image interpretation." Thesis, University of Oxford, 1997. http://ora.ox.ac.uk/objects/uuid:55ee7430-4029-47de-adb7-4b611ba1edc6.

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Meteorological satellite images at visible and infra-red wavelengths are an invaluable source of information on cloud systems because of their extensive coverage of the whole of the Earth's surface, providing data in areas that are only sparsely monitored, if at all, by other means. Although this information has been used subjectively by forecasters for many years, the lack of automatic, quantitative analysis techniques largely prevents its assimilation into numerical weather prediction (NWP) models, which are the basis of all modern weather forecasting. This thesis investigates the use of neu

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4

Dolan, Ryanne DeSouza Guilherme. "Cellular neural network virtual machine for graphics hardware with applications in image processing." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6545.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on November 13, 2009). Thesis advisor: Dr. Guilherme DeSouza. Includes bibliographical references.

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5

Kale, Mehmet Cemil. "Multispectral co-occurrence analysis for medical image processing." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1195500453.

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6

Pink, Jeffrey R. "Features and neural net recognition strategies for hand printed digits /." Online version of thesis, 1995. http://hdl.handle.net/1850/12230.

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7

Peerasathien, Theparit. "Biologically inspired object categorization in cluttered scenes /." Online version of thesis, 2008. http://hdl.handle.net/1850/7930.

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8

Oliveira, Diulhio Candido de. "Uma abordagem para detecção de pessoas em imagens de veículos aéreos não-tripulados." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2036.

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CAPES<br>Este trabalho tem como objetivo propor um método reconhecimento de pessoas em imagens aéreas obtidas a partir de Veículos Aéreos Não Tripulados de pequeno porte. Esta é uma aplicação de grande interesse, pois pode ser inserida em diversas situações tanto civis quanto militares como, por exemplo, missões de busca e salvamento. O uso de Veículos Aéreos Não Tripulados autônomos tende a aumentar com o barateamento desta tecnologia. Assim, esta tecnologia pode sobressair sobre outras utilizadas atualmente, como satélites e voos com grandes aeronaves. Para o reconhecimento de pessoas em ima

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9

Danilo, Robin. "Approches connexionnistes pour la vision par ordinateur embarquée." Thesis, Lorient, 2018. http://www.theses.fr/2018LORIS518/document.

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Pour concevoir des systèmes de vision embarquée, deux axes peuvent être considérés. Le premier se focalise sur la conception de nouveaux dispositifs numériques plus puissants capables de mettre en œuvre de manière efficace des algorithmes complexes. Le second se concentre sur l'élaboration de nouveaux algorithmes de vision, moins gourmands en ressources et qui peuvent efficacement être mis en œuvre sur des systèmes numériques embarqués. Nous privilégions dans ces travaux le second axe avec comme approche l'utilisation de modèles connexionnistes. Parmi les différents modèles existants, nous nou

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10

Ribeiro, Manassés. "Deep learning methods for detecting anomalies in videos: theoretical and methodological contributions." Universidade Tecnológica Federal do Paraná, 2018. http://repositorio.utfpr.edu.br/jspui/handle/1/3172.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>A detecção de anomalias em vídeos de vigilância é um tema de pesquisa recorrente em visão computacional. Os métodos de aprendizagem profunda têm alcançado o estado da arte para o reconhecimento de padrões em imagens e o Autocodificador Convolucional (ACC) é uma das abordagens mais utilizadas por sua capacidade em capturar as estruturas 2D dos objetos. Neste trabalho, a detecção de anomalias se refere ao problema de encontrar padrões em vídeos que não pertencem a um conceito normal esperado. Com o objetivo de classificar ano

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11

Nilsson, Erik. "Super-Resolution for Fast Multi-Contrast Magnetic Resonance Imaging." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160808.

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There are many clinical situations where magnetic resonance imaging (MRI) is preferable over other imaging modalities, while the major disadvantage is the relatively long scan time. Due to limited resources, this means that not all patients can be offered an MRI scan, even though it could provide crucial information. It can even be deemed unsafe for a critically ill patient to undergo the examination. In MRI, there is a trade-off between resolution, signal-to-noise ratio (SNR) and the time spent gathering data. When time is of utmost importance, we seek other methods to increase the resolution

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12

Malmgren, Henrik. "Revision of an artificial neural network enabling industrial sorting." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690.

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Convolutional artificial neural networks can be applied for image-based object classification to inform automated actions, such as handling of objects on a production line. The present thesis describes theoretical background for creating a classifier and explores the effects of introducing a set of relatively recent techniques to an existing ensemble of classifiers in use for an industrial sorting system.The findings indicate that it's important to use spatial variety dropout regularization for high resolution image inputs, and use an optimizer configuration with good convergence properties. T

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13

Wang, Tzu-chʻing. "Fuzzy neural network for edge detection and Hopfield network for edge enhancement /." 1999.

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14

"An investigation into the parameters influencing neural network based facial recognition." Thesis, 2012. http://hdl.handle.net/10210/7007.

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D.Ing.<br>This thesis deals with an investigation into facial recognition and some variables that influence the performance of such a system. Firstly there is an investigation into the influence of image variability on the overall recognition performance of a system and secondly the performance and subsequent suitability of a neural network based system is tested. Both tests are carried out on two distinctly different databases, one more variable than the other. The results indicate that the greater the amount of variability the more negatively affected is the performance rating of a specific

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15

"Constraint optimization techniques for graph matching applicable to 3-D object recognition." Chinese University of Hong Kong, 1996. http://library.cuhk.edu.hk/record=b5888888.

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by Chi-Min Pang.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.<br>Includes bibliographical references (leaves 110-[115]).<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Range Images --- p.1<br>Chapter 1.2 --- Rigid Body Model --- p.3<br>Chapter 1.3 --- Motivation --- p.4<br>Chapter 1.4 --- Thesis Outline --- p.6<br>Chapter 2 --- Object Recognition by Relaxation Processes --- p.7<br>Chapter 2.1 --- An Overview of Probabilistic Relaxation Labelling --- p.8<br>Chapter 2.2 --- Formulation of Model-matching Problem Solvable by Probabilistic Relaxation --- p.10<br>Cha

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16

Galvis, Alejandro. "Advancing profiling sensors with a wireless approach." 2013. http://hdl.handle.net/1805/3696.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>In general, profiling sensors are low-cost crude imagers that typically utilize a sparse detector array, whereas traditional cameras employ a dense focal-plane array. Profiling sensors are of particular interest in applications that require classification of a sensed object into broad categories, such as human, animal, or vehicle. However, profiling sensors have many other applications in which reliable classification of a crude silhouette or profile produced by the sensor is of value. The notion of a profiling sensor was first reali

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