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Tesi sul tema "Artificial Intelligence and Signal and Image Processing"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 20 febbraio 2023

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1

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.

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Abstract (sommario):

Due to concern about the current state of the world's oceans, several large scale scientific projects have begun to investigate the condition of our oceans. These projects are making use of underwater video sequences to monitor marine species. The move to using underwater video monitoring introduces labour intensive manual processing techniques. This leads to the need for an automated system capable of processing the data at a much greater speed. This project investigated whether the development of suitable image processing techniques could be used for pre-processing underwater images from a f

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2

Fearn, RC. "The Generalisation Ability of Neural Networks." Thesis, Honours thesis, University of Tasmania, 2004. https://eprints.utas.edu.au/119/1/thesis.pdf.

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Abstract (sommario):

Neural Networks (NN) can be trained to perform tasks such as image and handwriting recognition, credit card application approval and the prediction of stock market trends. During the learning process, the outputs of a supervised NN come to approximate the target values given the inputs in the training set. This ability may be good in itself, but often the more important purpose for a NN is to generalise i.e. to have the outputs of the NN approximate target values given inputs that are not in the training set. This project examines the impact a selection of key features has on the general

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3

Zehmeister, 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.

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Abstract (sommario):

The Four Legged League is a division of the RoboCup initiative that uses Sony AIBO robots to further robotics research. Most participants implement vision systems that use the colour of objects to perform identification. Calibration of the colour classification system must be done manually and any changes to the lighting of the environment after calibration reduces the accuracy of the system, often to a point at which the robot is effectively blind. This study investigates the relationships in the colour data of image pixels between different lighting conditions in an effort to identify tre

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4

Hall, DJ. "Flexible Robot Platform For Autonomous Research." Thesis, Honours thesis, University of Tasmania, 2005. https://eprints.utas.edu.au/249/1/djhThesis.pdf.

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Abstract (sommario):

The field of mobile robotics is receiving increasing levels of research. However, the simulation tools which are utilised in the creation of new mobile robot algorithms can produce algorithms which do not work in the real world. In order to try and minimise this problem a flexible robot platform has been created which allows the testing of a variety of algorithms. The platform facilitates the testing of algorithms normally only simulated by allowing algorithms to be easily tested in the real world. Utilising the flexible robot platform for testing algorithms allows higher quality research, as

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5

D'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.

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Abstract (sommario):

Performance metrics are a driving force in many fields of work today. The field of constructive neural networks is no different. In this field, the popular measurement metrics (resultant network size, test set accuracy) are difficult to maximise, given their dependence on several varied factors, of which the mostimportant is the dataset to be applied. This project set out with the intention to minimise the number of hidden units installed into a resource allocating network (RAN) (Platt 1991), whilst increasing the accuracy by means of application of competitive learning techniques. Three d

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6

Woolford, 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.

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Abstract (sommario):

A number of reinforcement learning algorithms have been developed that are guaranteed to converge to an optimal solution for look-up tables. However, it has also been shown that these algorithms become unstable when used directly with a function approximation system. A new class of algorithms developed by Baird (1995) were created to handle the problem that direct algorithms have with function approximation systems. This thesis focused on extending Baird's work further by comparing the performance of the residual algorithm against direct application of the Temporal Difference learning algorith

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7

Kamenetsky, 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.

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Abstract (sommario):

Over the past two decades, Reinforcement Learning has emerged as a promising Machine Learning technique that is capable of solving complex dynamic problems. The benefit of this technique lies in the fact that the agent learns from its experience rather than being told directly. For problems with large state-spaces, Reinforcement Learning algorithms are combined with function approximation techniques, such as neural networks. The architecture of the neural networks plays a significant role in the agent's learning. Past research has demonstrated that networks with a constructive architecture out

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8

Kelsall, 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.

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Abstract (sommario):

Many industries are benefiting from computer automation, however the area of image analysis is still limited. The process of finding a potential object in an image is hard in itself, let alone classifying it. Automating these tasks would significantly reduce the time it takes to complete them thus allowing much more data to be processed. This becomes a problem when data is collect faster than it can be analysed. Images and video sequences are captured for different purposes and need to be manually processed in order to discover their contents. The fishing industry is a perfect example of th

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9

Rochford, Matthew. "Visual Speech Recognition Using a 3D Convolutional Neural Network." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2109.

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Abstract (sommario):

Main stream automatic speech recognition (ASR) makes use of audio data to identify spoken words, however visual speech recognition (VSR) has recently been of increased interest to researchers. VSR is used when audio data is corrupted or missing entirely and also to further enhance the accuracy of audio-based ASR systems. In this research, we present both a framework for building 3D feature cubes of lip data from videos and a 3D convolutional neural network (CNN) architecture for performing classification on a dataset of 100 spoken words, recorded in an uncontrolled envi- ronment. Our 3D-CNN ar

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10

Knights, 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.

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Abstract (sommario):

Management of fisheries is an evolving science combining multiple techniques and strategies. The involvement of the computer in industry management and research continues to grow. The area of image analysis is currently limited but continues to grow as computing equipment becomes faster and cheaper. Locating a particular object in an image and processing information about that object is a significant task that requires a great deal of processing power and finesse. The benefits of a functioning automated task that processes data on an object, such as a lobster, simply by processing an image

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11

Laungrungthip, Nuchjira. "Sky detection in images for solar exposure prediction." Diss., Lincoln University, 2008. http://hdl.handle.net/10182/855.

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Abstract (sommario):

This project describes a technique for segmenting regions of sky in an image from the remainder of the image. This segmentation technique is part of a method for predicting the solar exposure at a location of interest from a set of photographs. Given the latitude and longitude of the position and the direction and field of view of the camera it is possible to calculate the position of the sun in the image at a particular time on a particular day. If that position is in a sky region of the image then the location will be exposed to the sun at that time. Critical to the success of this method f

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12

Punchihewa, 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.

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This thesis presents a framework of test methodology to assess spatial domain compression artefacts produced by image and intra-frame coded video codecs. Few researchers have studied this broad range of artefacts. A taxonomy of image and video compression artefacts is proposed. This is based on the point of origin of the artefact in the image communication model. This thesis presents objective evaluation of distortions known as artefacts due to image and intra-frame coded video compression made using synthetic test patterns. The American National Standard Institute document ANSI T1 801 qualita

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13

Nahodil, 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.

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Abstract (sommario):

Bioinformatics is a new and interesting field of research, and genuine discoveries are being made all the time. This project aims to investigate the application of a mathematical tool, called a Rauzy graph, to the problem of classifying DNA sequences. This project aims to learn more about the properties of DNA, and the nature of the graphs themselves. The work for the project involves developing an algorithm for the computer to generate Rauzy graphs. Different sets of DNA sequences are used to build graphs from, and their properties analysed to investigate their behaviour in the biology dom

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14

Paleari, Marco. "Informatique Affective : Affichage, Reconnaissance, et Synthèse par Ordinateur des Émotions." Phd thesis, Télécom ParisTech, 2009. http://pastel.archives-ouvertes.fr/pastel-00005615.

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Abstract (sommario):

L'informatique Affective regarde la computation que se rapporte, surgit de, ou influence délibérément les émotions et trouve son domaine d'application naturel dans les interactions homme-machine a haut niveau d'abstraction. L'informatique affective peut être divisée en trois sujets principaux, à savoir: l'affichage,l'identification, et la synthèse. La construction d'une machine intelligente capable dinteragir'de façon naturelle avec son utilisateur passe forcement par ce trois phases. Dans cette thèse nous proposions une architecture basée principalement sur le modèle dite "Multimodal Affectiv

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15

Irie, Kenji. "Noise-limited scene-change detection in images." Diss., Lincoln University, 2009. http://hdl.handle.net/10182/1351.

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This thesis describes the theoretical, experimental, and practical aspects of a noise-limited method for scene-change detection in images. The research is divided into three sections: noise analysis and modelling, dual illumination scene-change modelling, and integration of noise into the scene-change model. The sources of noise within commercially available digital cameras are described, with a new model for image noise derived for charge-coupled device (CCD) cameras. The model is validated experimentally through the development of techniques that allow the individual noise components to be

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16

Cooke, 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.

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Abstract (sommario):

Detecting unknown threats is a paradox; how do you detect a threat if it is not known to exist? The answer is that unknown threat detection is the process of making a previously unknown threat identifiable in the shortest possible time frame. This thesis examines the possibility of creating an unknown threat detection mechanism that security experts can use for developing a flexible protection system for networks. A system that allows the detection of unknown threats through distributed host based monitoring and the incorporation of dynamic and flexible logics with situational knowledge is des

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17

Bishell, 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.

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Abstract (sommario):

Implementing a real-time image-processing algorithm on a serial processor is difficult to achieve because such a processor cannot cope with the volume of data in the low-level operations. However, a parallel implementation, required to meet timing constraints for the low-level operations, results in low resource utilisation when implementing the high-level operations. These factors suggested a combination of parallel hardware, for the low-level operations, and a serial processor, for the high-level operations, for implementing a high-level image-processing algorithm. Several types of serial pr

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18

Uren, 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.

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Genetic algorithms, a stochastic evolutionary computing technique, have demonstrated a capacity for robust, efficient problem solving through highly parallel search space exploration. This work demonstrates how an improvement in performance and efficiency over the traditional serial approach can be achieved by exploiting this highly parallel nature to produce parallel genetic algorithms. Furthermore, it is shown that by incorporating domain specific knowledge into a genetic algorithm near optimal solutions can be located in minimal time.

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19

Dazeley, 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.

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Abstract (sommario):

Research in computer game playing has relied primarily on brute force searching approaches rather than any formal AI method. However, these methods may not be able to exceed human ability, as they need human expert knowledge to perform as well as they do. One recently popularized field of research known as reinforcement learning has shown good prospects in overcoming these limitations when applied to non-deterministic games. This thesis investigated whether the TD(_) algorithm, one method of reinforcement learning, using standard back-propagation neural networks for function generalization,

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20

Livingston, 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.

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Abstract (sommario):

Reinforcement learning algorithms are an important machine learning technique, which can be applied to the process of learning many tasks. Much of the existing work on improving these algorithms, and analysis into the usefulness, only considers agents which have to perform one task. Many real-world applications of reinforcement learning algorithms require that an agent can cope with small variations in their given task, and the application of their learnt knowledge to those tasks. I consider the application of reinforcement learning algorithms to several card games, and the process of tr

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21

Xilan, Tian. "Apprentissage et Noyau pour les Interfaces Cerveau-machine." Phd thesis, INSA de Rouen, 2012. http://tel.archives-ouvertes.fr/tel-00699659.

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Abstract (sommario):

Les Interface Cerveau-Machine (ICM) ont appliquées avec succès aussi bien dans le domain clinique que pour l'amélioration de la vie quotidienne de patients avec des handicaps. En tant que composante essentielle, le module de traitement du signal détermine nettement la performance d'un système ICM. Nous nous consacrons à améliorer les stratégies de traitement du signal du point de vue de l'apprentissage de la machine. Tout d'abord, nous avons développé un algorithme basé sur les SVM transductifs couplés aux noyaux multiples afin d'intégrer différentes vues des données (vue statistique ou une vu

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22

Manoonpong, 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.

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23

Sun, 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.

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Abstract (sommario):

Two types of artificial neural networks, Multilayer Perceptron (MLP) and Self-organizing Feature Map (SOM), were employed to detect mastitis for robotic milking stations using the preprocessed data relating to the electrical conductivity and milk yield. The SOM was developed to classify the health status into three categories: healthy, moderately ill and severely ill. The clustering results were successfully evaluated and validated by using statistical techniques such as K-means clustering, ANOVA and Least Significant Difference. The result shows that the SOM could be used in the robotic milki

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24

Liu, 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.

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Abstract (sommario):

Each year, the world’s top orange producers output millions of oranges for human consumption. This production is projected to grow by as much as 64 million in 2010 and so the demand for fast, low-cost and precise automated orange fruit grading systems is only deemed to become more increasingly important. There is however an underlying limit to most orange blemish detection algorithms. Most existing statistical-based, structural-based, model-based and transform-based orange blemish detection algorithms are plagued by the following problem: any pixels in an image of an orange having about the sa

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25

Creemers, 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.

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Abstract (sommario):

This work encompasses several objectives, but is primarily concerned with an experiment where 33 participants were shown 32 slides in order to create ‗weakly induced emotions‘. Recordings of the participants‘ physiological state were taken as well as a self report of their emotional state. We then used an assortment of classifiers to predict emotional state from the recorded physiological signals, a process known as Physiological Pattern Recognition (PPR). We investigated techniques for recording, processing and extracting features from six different physiological signals: Electrocardiogram (E

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26

Cont, 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.

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Abstract (sommario):

Mes activités de recherche et d'encadrement, depuis ma soutenance de thèse en octobre 2008, gravitent à la confluence de deux problématiques souvent considérées comme distinctes dont le couplage est plus qu'évident en informatique musicale : l'écoute artificielle et la programmation synchrone des signaux musicaux en temps réel. Le but est d'enrichir chaque domaine respectivement et de fournir des outils nécessaires aux artistes pour étendre leurs capacités de création musicale sur ordinateur (à celui de leurs homologues humains). Le premier aspect de tout système de musique interactive est l'a

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27

Drira, 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.

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Dans cette thèse, nous proposons un cadre Riemannien pour comparer, déformer, calculer des statistiques et organiser de manière hiérarchique des surfaces faciales. Nous appliquons ce cadre à la biométrie faciale 3D où les défis sont les expressions faciales, les variations de la pose et les occultations du visage par des objets externes. Les surfaces faciales sont repr'esentées par un ensemble de courbes de niveaux et de courbes radiales. L'ensemble des courbes fermées (de niveau) constitue une sous-variété non-linéaire de dimension infinie et est utilisé pour représenter le nez, la partie la

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28

Musti, 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.

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Ce travail porte sur la synthèse de la parole audio-visuelle. Dans la littérature disponible dans ce domaine, la plupart des approches traite le problème en le divisant en deux problèmes de synthèse. Le premier est la synthèse de la parole acoustique et l'autre étant la génération d'animation faciale correspondante. Mais, cela ne garantit pas une parfaite synchronisation et cohérence de la parole audio-visuelle. Pour pallier implicitement l'inconvénient ci-dessus, nous avons proposé une approche de synthèse de la parole acoustique-visuelle par la sélection naturelle des unités synchrones bimod

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29

Bowie, Mike H. "Evaluation of image analysis for studing mite behaviour." Lincoln University, 1996. http://hdl.handle.net/10182/1056.

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The aim of this study was to investigate the usefulness of image analysis for studying mite behaviour. Image analysis was used to convert video recordings of mites' locomotory behaviour into a series of x,y coordinates that, when joined, closely resemble the paths of mites. The coordinates were also used to calculate walking speed, direction of travel, turning frequency, turn bias and tortuosity. Two experimental arenas were developed and used to study the movement of three mite species: 1) a leaf disc arena for two-spotted spider mite, Tetranychus urticae Koch and European red mite, Panonychu

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30

Tian, Yuan. "Simulation for LEGO Mindstorms robotics." Lincoln University, 2008. http://hdl.handle.net/10182/304.

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Abstract (sommario):

The LEGO® MINDSTORMS® toolkit can be used to help students learn basic programming and engineering concepts. Software that is widely used with LEGO MINDSTORMS is ROBOLAB, developed by Professor Chris Rogers from Tufts University, Boston, United States. It has been adopted in about 10,000 schools in the United States and other countries. It is used to program LEGO MINDSTORMS robotics in its icon-based programming environment. However, this software does not provide debug features for LEGO MINDSTORMS programs. Users cannot test the program before downloading it into LEGO robotics hardware. In th

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Ghazouani, 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.

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Abstract (sommario):

Les travaux présentés dans cette thèse concernent le thème des fonctionnalités visuelles qu'il convient d'embarquer sur un robot mobile, afin qu'il puisse se déplacer dans son environnement. Plus précisément, ils ont trait aux méthodes de perception par vision stéréoscopique dense, de modélisation de l'environnement par grille d'occupation, et de suivi visuel d'objets, pour la navigation autonome d'un robot mobile dans un environnement d'intérieur. Il nous semble important que les méthodes de perception visuelle soient à la fois robustes et rapide. Alors que dans les travaux réalisés, on trouv

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32

Brodie, 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.

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Abstract (sommario):

Fusion Motion Capture (FMC), a wearable motion capture system was developed, and applied to the optimisation of athlete performance in alpine ski racing. In what may be a world first, the three-dimensional movements of a skilled athlete (with less than 20 FIS1 points) skiing through a complete training giant slalom racecourse were analysed. FMC consists of multiple light weight sensors attached to the athlete including inertial measurement units (IMUs), pressure sensitive insoles and a global position system (GPS) receiver. The IMUs contain accelerometers, gyroscopes, and magnetometers. Limb o

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Sanderson, Conrad. "Automatic Person Verification Using Speech and Face Information." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/367191.

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Abstract (sommario):

Identity verification systems are an important part of our every day life. A typical example is the Automatic Teller Machine (ATM) which employs a simple identity verification scheme: the user is asked to enter their secret password after inserting their ATM card; if the password matches the one prescribed to the card, the user is allowed access to their bank account. This scheme suffers from a major drawback: only the validity of the combination of a certain possession (the ATM card) and certain knowledge (the password) is verified. The ATM card can be lost or stolen, and the password can be

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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.

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Abstract (sommario):

This thesis seeks to address current problems encountered when training classifiers within the framework of cascades of boosted ensembles (CoBE). At present, a signifi- cant challenge facing this framework are inordinate classifier training runtimes. In some cases, it can take days or weeks (Viola and Jones, 2004; Verschae et al., 2008) to train a classifier. The protracted training runtimes are an obstacle to the wider use of this framework (Brubaker et al., 2006). They also hinder the process of producing effective object detection applications and make the testing of new theories and algori

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Yasin, 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.

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36

Hassan, 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.

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Abstract (sommario):

Bovine mastitis adversely affects the dairy industry around the world. This disease is caused by a diverse range of bacteria, broadly categorised as minor and major pathogens. In-line tools that help identify these bacterial groupings in the early stages of the disease are advantageous as timely decisions could be made before the cow develops any clinical symptoms. The first objective of this research was to identify the most informative milk parameters for the detection of minor and major bacterial pathogens. The second objective of this research was to evaluate the potential of supervise

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Wong, Hau San. "Adaptive image processing using computational intelligence techniques." Thesis, The University of Sydney, 1998. https://hdl.handle.net/2123/27658.

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Abstract (sommario):

In this thesis, we illustrate the essential aspects of the adaptive image processing problem in terms of two applications: the adaptive assignment of the regularization parameters in image restoration, and the adaptive characterization of edges in feature detection applications. These two problems are representative of the general adaptive image processing paradigm in that the three requirements for its successive implementation: namely the segmentation of an image into its main feature types, the characterization of each of these features, and the optimization of the image model paramet

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Delaye, 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.

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L'essor des interfaces homme-machine permettant la saisie d'informations à l'aide d'un stylo électronique est accompagné par le développement de méthodes automatiques pour interpréter des données de plus en plus riches et complexes : texte manuscrit, mais aussi expressions mathématiques, schémas, prise de notes libre... Pour interpréter efficacement ces documents manuscrits, il est nécessaire de considérer conjointement les formes des objets qui les constituent et leur positionnement spatial. Nos recherches se concentrent sur la modélisation du positionnement spatial entre des objets manuscrit

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39

Gadde, Pramod. "AFFINE IMAGE REGISTRATION USING ARTIFICIAL NEURAL NETWORKS." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/982.

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This thesis deals with image registration of MRI images using neural networks. Image registration combines multiple images of the same subject that were taken at different points in time, from different sensors, or from different points of views into a single image and coordinate system. Image registration is widely used in medical imaging and remote sensing. In this thesis feed forward neural networks and wavelet neural networks are used to estimate the parameters of registration. Simulations show that the wavelet networks provide significantly more accurate results than feed forward networks

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40

Mahdjoub, 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.

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Il existe une multitude de traitements d'images dans la littérature, chacun étant adapté à un ensemble plus ou moins grand de cadres d'application. La généralisation ou la mise en collaboration de ces traitements pour un système plus complet et plus robuste est un problème mal posé. Les traitements d'images sont fondamentalement trop différents les uns par rapport aux autres pour être mis en commun de façon naturelle. De plus, ces derniers sont trop rigides pour pouvoir s'adapter d'eux-mêmes lorsqu'un problème non prévu à l'avance par le concepteur apparaît. Or la vision est un phénomène autoa

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41

Ouni, 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.

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La communication parlée est par essence multimodale. Le signal acoustique véhicule la modalité auditive, et l'image la modalité visuelle et gestuelle (déformations du visage). Le signal de parole est en effet la conséquence des déformations du conduit vocal sous l'effet du mouvement de la mâchoire, des lèvres, de la langue, etc.. pour moduler le signal d'excitation produit par les cordes vocales ou les turbulences aérodynamiques. Ces déformations sont visibles au niveau du visage (lèvres, joues, mâchoire) grâce à la coordination des différents muscles orofaciaux et de la déformation de la peau

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42

Choi, Hyunjong. "Medical Image Registration Using Artificial Neural Network." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1523.

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Abstract (sommario):

Image registration is the transformation of different sets of images into one coordinate system in order to align and overlay multiple images. Image registration is used in many fields such as medical imaging, remote sensing, and computer vision. It is very important in medical research, where multiple images are acquired from different sensors at various points in time. This allows doctors to monitor the effects of treatments on patients in a certain region of interest over time. In this thesis, artificial neural networks with curvelet keypoints are used to estimate the parameters of registra

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43

Sinha, 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.

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44

Vieira, 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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Submitted by FÁBIO HENRIQUE ANTUNES VIEIRA null (curso_structural@hotmail.com) on 2016-08-03T12:43:17Z No. of bitstreams: 1 Fábio Henrique Antunes Vieira TESE.pdf: 4977174 bytes, checksum: f3e115728925e457e12dd4a79c93812a (MD5)<br>Approved for entry into archive by Ana Paula Grisoto (grisotoana@reitoria.unesp.br) on 2016-08-04T19:15:49Z (GMT) No. of bitstreams: 1 vieira_fha_dr_guara.pdf: 4977174 bytes, checksum: f3e115728925e457e12dd4a79c93812a (MD5)<br>Made available in DSpace on 2016-08-04T19:15:49Z (GMT). No. of bitstreams: 1 vieira_fha_dr_guara.pdf: 4977174 bytes, checksum: f3e1157289

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45

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.

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46

Baccouche, 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.

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Abstract (sommario):

Cette thèse s'intéresse à la problématique de la classification automatique des séquences vidéo. L'idée est de se démarquer de la méthodologie dominante qui se base sur l'utilisation de caractéristiques conçues manuellement, et de proposer des modèles qui soient les plus génériques possibles et indépendants du domaine. Ceci est fait en automatisant la phase d'extraction des caractéristiques, qui sont dans notre cas générées par apprentissage à partir d'exemples, sans aucune connaissance a priori. Nous nous appuyons pour ce faire sur des travaux existants sur les modèles neuronaux pour la recon

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47

Al-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.

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48

Kittel, W. Armin. "A symbolic representation for signals." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/15820.

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49

Moshtagh, 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.

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50

Luwes, 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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