Дисертації з теми "Artificial Intelligence and Signal and Image Processing"
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Lambert, T. "Digital Enhancement Techniques for Underwater Video Image Sequences." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/253/1/tristanlthesis.pdf.
Повний текст джерелаFearn, RC. "The Generalisation Ability of Neural Networks." Thesis, Honours thesis, University of Tasmania, 2004. https://eprints.utas.edu.au/119/1/thesis.pdf.
Повний текст джерелаZehmeister, MS. "Development of an Illumination Identification System for the AIBO Robot." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/247/1/mszThesisFinal.pdf.
Повний текст джерелаHall, DJ. "Flexible Robot Platform For Autonomous Research." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/249/1/djhThesis.pdf.
Повний текст джерелаD'Alton, S. "A Constructive Neural Network Incorporating Competitive Learning of Locally Tuned Hidden Neurons." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/243/1/D%27Alton05CompetitivelyTrainedRAN.pdf.
Повний текст джерелаWoolford, E. "Residual Reinforcement Learning using Neural Networks." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/250/1/ewFINAL_with_beginning_pages.pdf.
Повний текст джерелаKamenetsky, D. "A Comparison of Neural Network Architectures in Reinforcement Learning in the Game of Othello." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/252/1/dkThesis_Final_4.pdf.
Повний текст джерелаKelsall, A. "Flexible Shape Models for Marine Animal Detection in Underwater Images." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/248/1/afkThesis_FINAL.pdf.
Повний текст джерелаRochford, Matthew. "Visual Speech Recognition Using a 3D Convolutional Neural Network." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2109.
Повний текст джерелаKnights, MS. "Flexible shape models for image analysis in an automated lobster catch assessment system." Thesis, Honours thesis, University of Tasmania, 2007. https://eprints.utas.edu.au/3013/2/1_front_Knights.pdf.
Повний текст джерелаLaungrungthip, Nuchjira. "Sky detection in images for solar exposure prediction." Diss., Lincoln University, 2008. http://hdl.handle.net/10182/855.
Повний текст джерелаPunchihewa, Amal. "Synthetic test patterns and compression artefact distortion metrics for image codecs : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Engineering at Massey University, Palmerston North, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1131.
Повний текст джерелаNahodil, D. "Creating and Analysing Rauzy Graphs for DNA Sequences." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/244/1/dnahodil_thesis.pdf.
Повний текст джерелаPaleari, Marco. "Informatique Affective : Affichage, Reconnaissance, et Synthèse par Ordinateur des Émotions." Phd thesis, Télécom ParisTech, 2009. http://pastel.archives-ouvertes.fr/pastel-00005615.
Повний текст джерелаIrie, Kenji. "Noise-limited scene-change detection in images." Diss., Lincoln University, 2009. http://hdl.handle.net/10182/1351.
Повний текст джерелаCooke, HBM. "Applying Expert System Technology in a Distributed Monitoring System: An Efficient Response Mechanism for Unknown Threats." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/245/1/Final_Thesis.pdf.
Повний текст джерелаBishell, Aaron. "Designing application-specific processors for image processing : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science, Massey University, Palmerston North, New Zealand." Massey University, 2008. http://hdl.handle.net/10179/1024.
Повний текст джерелаUren, PJ. "Investigation of Distributed and Parallel Performance of a Genetic Algorithm." Thesis, Honours thesis, University of Tasmania, 2004. https://eprints.utas.edu.au/101/1/Philip_Uren_Thesis_Final.pdf.
Повний текст джерелаDazeley, R. "Investigations into Playing Chess Endgames using Reinforcement Learning." Thesis, Honours thesis, University of Tasmania, 2001. https://eprints.utas.edu.au/62/1/Final_Thesis.pdf.
Повний текст джерелаLivingston, JR. "Transfer Of Learnt Knowledge With Card Games." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/246/1/jrl_thesis.pdf.
Повний текст джерелаXilan, Tian. "Apprentissage et Noyau pour les Interfaces Cerveau-machine." Phd thesis, INSA de Rouen, 2012. http://tel.archives-ouvertes.fr/tel-00699659.
Повний текст джерелаManoonpong, Poramate. "Neural preprocessing and control of reactive walking machines : towards versatile artificial perception-action systems /." Berlin : Springer, 2007. http://sfx.ethz.ch/sfx_locater?sid=ALEPH:EBI01&genre=book&isbn=978-3-540-68802-0&id=doi:10.1007/978-3-540-68803-7.
Повний текст джерелаSun, Zhibin. "Application of artificial neural networks in early detection of Mastitis from improved data collected on-line by robotic milking stations." Lincoln University, 2008. http://hdl.handle.net/10182/665.
Повний текст джерелаLiu, MingHui. "Navel orange blemish identification for quality grading system : a thesis submitted in partial fulfilment of the requirements for the degree of Master of Computer Science at Massey University, Albany, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1175.
Повний текст джерелаCreemers, Warren. "On the Recognition of Emotion from Physiological Data." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/680.
Повний текст джерелаCont, Arshia. "Traitement et programmation temps-réel des signaux musicaux." Habilitation à diriger des recherches, Université Pierre et Marie Curie - Paris VI, 2013. http://tel.archives-ouvertes.fr/tel-00829771.
Повний текст джерелаDrira, Hassen. "Calcul statistique sur les variétés de forme pour la l'analyse et la reconnaissance de visage 3D." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2011. http://tel.archives-ouvertes.fr/tel-00728009.
Повний текст джерелаMusti, Utpala. "Synthèse Acoustico-Visuelle de la Parole par Séléction d'Unités Bimodales." Phd thesis, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00927121.
Повний текст джерелаBowie, Mike H. "Evaluation of image analysis for studing mite behaviour." Lincoln University, 1996. http://hdl.handle.net/10182/1056.
Повний текст джерелаTian, Yuan. "Simulation for LEGO Mindstorms robotics." Lincoln University, 2008. http://hdl.handle.net/10182/304.
Повний текст джерелаGhazouani, Haythem. "Navigation visuelle de robots mobiles dans un environnement d'intérieur." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2012. http://tel.archives-ouvertes.fr/tel-00932829.
Повний текст джерелаBrodie, Matthew Andrew Dalhousie. "Development of fusion motion capture for optimisation of performance in alpine ski racing : a thesis presented in fulfilment of the requirements for the degree of Doctor of Philosophy in Science at Massey University, Wellington, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1041.
Повний текст джерелаSanderson, Conrad. "Automatic Person Verification Using Speech and Face Information." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/367191.
Повний текст джерелаThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Microelectronic Engineering
Full Text
Susnjak, Teo. "Accelerating classifier training using AdaBoost within cascades of boosted ensembles : a thesis presented in partial fulfillment of the requirements for the degree of Master of Science in Computer Sciences at Massey University, Auckland, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1002.
Повний текст джерелаYasin, Seyed Mohammad Taghi Alhoseyni Almodarresi. "Application of intelligent signal processing to dynamic measurement systems." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342812.
Повний текст джерелаHassan, K. J. "Application of artificial neural networks for understanding and diagnosing the state of mastitis in dairy cattle." Lincoln University, 2007. http://hdl.handle.net/10182/633.
Повний текст джерелаWong, Hau San. "Adaptive image processing using computational intelligence techniques." Thesis, The University of Sydney, 1998. https://hdl.handle.net/2123/27658.
Повний текст джерелаDelaye, Adrien. "Méta-modèles de positionnement spatial pour la reconnaissance de tracés manuscrits." Phd thesis, INSA de Rennes, 2011. http://tel.archives-ouvertes.fr/tel-00651446.
Повний текст джерелаGadde, Pramod. "AFFINE IMAGE REGISTRATION USING ARTIFICIAL NEURAL NETWORKS." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/982.
Повний текст джерелаMahdjoub, Jason. "Vers un système de vision auto-adaptatif à base de systèmes multi-agents." Phd thesis, Université de Reims - Champagne Ardenne, 2011. http://tel.archives-ouvertes.fr/tel-00937422.
Повний текст джерелаOuni, Slim. "Parole Multimodale : de la parole articulatoire à la parole audiovisuelle." Habilitation à diriger des recherches, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00927119.
Повний текст джерелаChoi, Hyunjong. "Medical Image Registration Using Artificial Neural Network." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1523.
Повний текст джерелаSinha, Sunil K. "Automated underground pipe inspection using a unified image processing and artificial intelligence methodology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0015/NQ53517.pdf.
Повний текст джерелаVieira, Fábio Henrique Antunes [UNESP]. "Image processing through machine learning for wood quality classification." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/142813.
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A classificação da qualidade da madeira é indicada para indústria de processamento e produção desse material. Essas empresas têm investido em soluções para agregar valor à matéria-prima, com o intuito de melhorar resultados, observando os rumos do mercado. O objetivo deste trabalho foi comparar Redes Neurais Convolutivas, um método de aprendizado profundo, na classificação da qualidade de madeira, com outras técnicas tradicionais de Máquinas de aprendizado, como Máquina de Vetores de Suporte, Árvores de Decisão, Regra dos Vizinhos Mais Próximos e Redes Neurais, em conjunto com Descritores de Textura. Isso foi possível através da verificação do nível de acurácia das experiências com diferentes técnicas, como Aprendizado Profundo e Descritores de Textura no processamento de imagens destes objetos. Foi utilizada uma câmera convencional para capturar as 374 amostras de imagem adotadas no experimento, e a base de dados está disponível para consulta. O processamento das imagens passou por algumas fases, após terem sido obtidas, como pré-processamento, segmentação, análise de recursos e classificação. Os métodos de classificação se deram através de Aprendizado Profundo e por meio de técnicas de Aprendizado de Máquinas tradicionais como Máquina de Vetores de Suporte, Árvores de Decisão, Regra dos Vizinhos Mais Próximos e Redes Neurais juntamente com os Descritores de Textura. Os resultados empíricos para o conjunto de dados das imagens da madeira serrada mostraram que o método com Descritores de Textura, independentemente da estratégia empregada, foi muito competitivo quando comparado com as Redes Neurais Convolutivas para todos os experimentos realizados, e até mesmo superou-as para esta aplicação.
The quality classification of wood is prescribed throughout the wood chain industry, particularly those from the processing and manufacturing fields. Those organizations have invested energy and time trying to increase value of basic items, with the purpose of accomplishing better results, in agreement to the market. The objective of this work was to compare Convolutional Neural Network, a deep learning method, for wood quality classification to other traditional Machine Learning techniques, namely Support Vector Machine (SVM), Decision Trees (DT), K-Nearest Neighbors (KNN), and Neural Networks (NN) associated with Texture Descriptors. Some of the possible options were to assess the predictive performance through the experiments with different techniques, Deep Learning and Texture Descriptors, for processing images of this material type. A camera was used to capture the 374 image samples adopted on the experiment, and their database is available for consultation. The images had some stages of processing after they have been acquired, as pre-processing, segmentation, feature analysis, and classification. The classification methods occurred through Deep Learning, more specifically Convolutional Neural Networks - CNN, and using Texture Descriptors with Support Vector Machine, Decision Trees, K-nearest Neighbors and Neural Network. Empirical results for the image dataset showed that the approach using texture descriptor method, regardless of the strategy employed, is very competitive when compared with CNN for all performed experiments, and even overcome it for this application.
Gooch, Richard M. "Machine learning techniques for signal processing, pattern recognition and knowledge extraction from examples." Thesis, University of Bristol, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294898.
Повний текст джерелаBaccouche, Moez. "Apprentissage neuronal de caractéristiques spatio-temporelles pour la classification automatique de séquences vidéo." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00932662.
Повний текст джерелаAl-khedher, Mohammad Abdelfatah. "Carbon nanotubes characterization and quality analysis using artificial intelligence." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Spring2007/m_al-khedher_041907.pdf.
Повний текст джерелаKittel, W. Armin. "A symbolic representation for signals." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/15820.
Повний текст джерелаMoshtagh, Jamal. "Accurate fault location in low voltage underground cables using advanced signal processing and artificial intelligence." Thesis, University of Bath, 2006. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433963.
Повний текст джерелаLuwes, Nicolaas Johannes. "Artificial intelligence machine vision grading system." Thesis, Bloemfontein : Central University of Technology, Free State, 2014. http://hdl.handle.net/11462/35.
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