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Dissertations / Theses on the topic 'Recognition algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Pham, Quoc Henry. "Hierarchical processing algorithms for object recognition." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13562.

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2

Ragothaman, Pradeep. "EFFICIENT ALGORITHMS FOR CORRELATION PATTERN RECOGNITION." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2132.

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The mathematical operation of correlation is a very simple concept, yet has a very rich history of application in a variety of engineering fields. It is essentially nothing but a technique to measure if and to what degree two signals match each other. Since this is a very basic and universal task in a wide variety of fields such as signal processing, communications, computer vision etc., it has been an important tool. The field of pattern recognition often deals with the task of analyzing signals or useful information from signals and classifying them into classes. Very often, these classes ar

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3

Huang, Jian. "Discriminant analysis algorithms for face recognition." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/655.

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4

Suliman, Ayman, and Joakim Bäverlind. "Experiments With Four Pattern Recognition Algorithms." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214730.

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A big part of computer vision concerns the issue ofhow well images can be classified into their corresponding classes.Image classification is a big part of reducing the gap betweenhuman and AI performance. Images are classified by first usinga dataset of images together with their given classifications totrain the system with machine learning. This can then be usedon images without any classification to test and see how well thealgorithm can classify an unknown image. However, this can bedone in many different ways and methods. The aim of the projectis to compare the performance of four algori

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5

Tyler, J. E. M. "Speech recognition by computer : algorithms and architectures." Thesis, University of Greenwich, 1988. http://gala.gre.ac.uk/8707/.

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This work is concerned with the investigation of algorithms and architectures for computer recognition of human speech. Three speech recognition algorithms have been implemented, using (a) Walsh Analysis, (b) Fourier Analysis and (c) Linear Predictive Coding. The Fourier Analysis algorithm made use of the Prime-number Fourier Transform technique. The Linear Predictive Coding algorithm made use of LeRoux and Gueguen's method for calculating the coefficients. The system was organised so that the speech samples could be input to a PC/XT microcomputer in a typical office environment. The PC/XT was

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6

Bellino, Kathleen Ann. "Computational Algorithms for Face Alignment and Recognition." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/32847.

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Real-time face recognition has recently become available for the government and industry due to developments in face recognition algorithms, human head detection algorithms, and faster/low cost computers. Despite these advances, however, there are still some critical issues that affect the performance of real-time face recognition software. This paper addresses the problem of off-centered and out-of-pose faces in pictures, particularly in regard to the eigenface method for face recognition. We first demonstrate how the representation of faces by the eigenface method, and ultimately the p

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7

Feng, Yicheng. "Template protecting algorithms for face recognition system." HKBU Institutional Repository, 2007. http://repository.hkbu.edu.hk/etd_ra/832.

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8

Luccio, Flaminia L. Carleton University Dissertation Computer Science. "Distributed algorithms for routing and string recognition." Ottawa, 1995.

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9

Domingues, Riaal. "A polynomial time algorithm for prime recognition." Diss., Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-08212007-100529.

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10

Demirci, Muhammed Fatih Shokoufandeh Ali. "Many-to-many feature matching for structural pattern recognition /." Philadelphia, Pa. : Drexel University, 2005. http://dspace.library.drexel.edu/handle/1860/656.

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11

Zou, Weiwen. "Face recognition from video." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1431.

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12

Xie, Li Peng. "Algorithms for recognition of low quality iris images." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27937.

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A biometric system is designed to accurately identify people based on human physiological features such as face, iris, fingerprint and voice recognition. Iris recognition is considered to have the highest identification accuracy and commercial iris recognition systems have been deployed in many applications, like passports and border control. One of the key performance limitations in iris recognition is the low image quality, including rotated iris images, partial eyelash and eyelid occlusions. We developed an algorithm to accurately detect the eyelash occlusion and eliminate these eyelash occ

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13

Raza, Ghulam. "Algorithms for the recognition of poor quality documents." Thesis, Nottingham Trent University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241828.

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14

Ren, Manling. "Algorithms for off-line recognition of Chinese characters." Thesis, Nottingham Trent University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245175.

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15

Becerra, Yoma Nestor. "Speech recognition in noise using weighted matching algorithms." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/10768.

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This thesis investigates the problem of automatic speech recognition in noise (additive and convolutional) by the development of Weighted Matching algorithms (WMA). The WMA approach relies on the fact that additive noise corrupts some segments of the speech signal more severely than others. As a result, WMA revises the classical concept of acoustic pattern matching in order to include the segmental signal to noise ratio (SNR) frame-by-frame. The problem of end-point detection is also addressed and a method based on autoregressive analysis of noise is also proposed for robust speech pulse detec

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16

Chaudhari, Soumee. "Modeling distance functions induced by face recognition algorithms." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000516.

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17

Chaudhari, Soumee. "Modelling Distance Functions Induced by Face Recognition Algorithms." Scholar Commons, 2004. https://scholarcommons.usf.edu/etd/990.

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Face recognition algorithms has in the past few years become a very active area of research in the fields of computer vision, image processing, and cognitive psychology. This has spawned various algorithms of different complexities. The concept of principal component analysis(PCA) is a popular mode of face recognition algorithm and has often been used to benchmark other face recognition algorithms for identification and verification scenarios. However in this thesis, we try to analyze different face recognition algorithms at a deeper level. The objective is to model the distances output by any

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18

Yin, Jie. "Probabilistic activity recognition from low-level sensors /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20YIN.

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19

Alexandropoulos, Ioannis M. "Uncooled infrared imaging face recognition using kernel-based feature vector selection." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FAlexandropoulos.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, September 2006.<br>Thesis Advisor(s): Monique P. Furgues, Roberto Cristi, Carlos Borges. "September 2006." Includes bibliographical references (p. 133-136). Also available in print.

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20

Meichsner, Alan. "Integer relation algorithms and the recognition of numerical constants." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ61592.pdf.

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21

Sharp, Graham R. "Recognition algorithms for actions of permutation groups on pairs." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244602.

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22

Wright, P. T. "Algorithms for the recognition of handwriting in real-time." Thesis, Open University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234272.

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23

Hanna, Salim Alia. "Digital signal processing algorithms for speech coding and recognition." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/46268.

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24

翼, 落合, and Tsubasa Ochiai. "Deep learning algorithms for high-performance automatic speech recognition." Thesis, https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB13071673/?lang=0, 2018. https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB13071673/?lang=0.

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25

Horvath, Matthew Steven. "Performance Prediction of Quantization Based Automatic Target Recognition Algorithms." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1452086412.

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26

Bazzi, Louay Mohamad Jamil 1974. "Robust algorithms for model-based object recognition and localization." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9440.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 86-87).<br>We consider the problem of model-based object recognition and localization in the presence of noise, spurious features, and occlusion. We address the case where the model is allowed to be transformed by elements in a given space of allowable transformations. Known algorithms for the problem either treat noise very accurately in an unacceptable worst case running time, or may have unreliable output when noise is allowed. We intro

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27

Lee, Richard. "3D non-linear image restoration algorithms." Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338227.

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28

Hurn, Merrilee Ann. "Models and algorithms for image reconstruction." Thesis, University of Bath, 1992. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317339.

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29

Dahlbom, Anders. "Petri nets for situation recognition." Doctoral thesis, Örebro universitet, Akademin för naturvetenskap och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-13089.

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Situation recognition is a process with the goal of identifying a priori defined situations in a flow of data and information. The purpose is to aid decision makers with focusing on relevant information by filtering out situations of interest. This is an increasingly important and non trivial problem to solve since the amount of information in various decision making situations constantly grow. Situation recognition thus addresses the information gap, i.e. the problem of finding the correct information at the correct time. Interesting situations may also evolve over time and they may consist o

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30

Shao, Zhimin. "3D/2D object recognition from surface patterns." Thesis, University of Surrey, 1997. http://epubs.surrey.ac.uk/844055/.

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Attributed Relational Graph (ARG) is a powerful representation for model based object recognition due to its inherent robustness in handling noisy and incomplete data. In the past few years, the availability of efficient ARG matching algorithms and their theoretical underpinnings have greatly contributed to many successful applications of ARG representation in tackling high level vision problems. During my past three year investigation into object recognition using ARG representation, we have developed a number of novel theories and techniques in the subject area. Some are image processing tec

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31

Yao, Xiaoqiang. "Pattern-recognition scheduling." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1177698616.

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32

Levine, Nathan J. "Exploring Algorithmic Musical Key Recognition." Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/cmc_theses/1101.

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The following thesis outlines the goal and process of algorithmic musical key detection as well as the underlying music theory. This includes a discussion of signal-processing techniques intended to most accurately detect musical pitch, as well as a detailed description of the Krumhansl-Shmuckler (KS) key-finding algorithm. It also describes the Java based implementation and testing process of a musical key-finding program based on the KS algorithm. This thesis provides an analysis of the results and a comparison with the original algorithm, ending with a discussion of the recommended directio

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33

Lam, Shu Yan. "Advances in active contour algorithms." HKBU Institutional Repository, 2002. http://repository.hkbu.edu.hk/etd_ra/453.

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34

Reguna, Lakshmi. "An indepth analysis of face recognition algorithms using affine approximations." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000616.

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35

Yang, Tingxiao. "The Algorithms of Speech Recognition : programming and simulating in MATLAB." Thesis, Högskolan i Gävle, Akademin för teknik och miljö, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-11835.

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The aim of this thesis work is to investigate the algorithms of speech recognition. The author programmed and simulated the designed systems for algorithms of speech recognition in MATLAB. There are two systems designed in this thesis. One is based on the shape information of the cross-correlation plotting. The other one is to use the Wiener Filter to realize the speech recognition. The simulations of the programmed systems in MATLAB are accomplished by using the microphone to record the speaking words. After running the program in MATLAB, MATLAB will ask people to record the words three times

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36

Katadound, Sachin. "Face Recognition: Study and Comparison of PCA and EBGM Algorithms." TopSCHOLAR®, 2004. http://digitalcommons.wku.edu/theses/241.

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Face recognition is a complex and difficult process due to various factors such as variability of illumination, occlusion, face specific characteristics like hair, glasses, beard, etc., and other similar problems affecting computer vision problems. Using a system that offers robust and consistent results for face recognition, various applications such as identification for law enforcement, secure system access, computer human interaction, etc., can be automated successfully. Different methods exist to solve the face recognition problem. Principal component analysis, Independent component analy

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37

Zong, Ning. "Data-based Models Design and Learning Algorithms for Pattern Recognition." Thesis, University of Reading, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485362.

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This thesis initially overviews the general methodologies and techniques of databased models design and learning algorithms for pattern recognition. New modelling approaches are then proposed as original contributions of thi~ thesis with the aim of deriving the models with enhanced recognition performance. The proposed approaches are rigorously investigated through analysis and numerical examples. A new combined approach is proposed to reduce the complexity of support vector regression (SVR) model by using a forward orthogonal least squares (FOLS) with predicted residual sum of squares (PRESS)

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38

Rao, Zusheng. "Optimal algorithms for object recognition with occlusion in scale space." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39223.pdf.

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39

Wilcher, John S. "Algorithms and performance optimization for distributed radar automatic target recognition." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53533.

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This thesis focuses upon automatic target recognition (ATR) with radar sensors. Recent advancements in ATR have included the processing of target signatures from multiple, spatially-diverse perspectives. The advantage of multiple perspectives in target classification results from the angular sensitivity of reflected radar transmissions. By viewing the target at different angles, the classifier has a better opportunity to distinguish between target classes. This dissertation extends recent advances in multi-perspective target classification by: 1) leveraging bistatic target reflectivity sig

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40

Turroni, Francesco <1983&gt. "Fingerprint Recognition: Enhancement, Feature Extraction and Automatic Evaluation of Algorithms." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4378/1/turroni_francesco_tesi.pdf.

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The identification of people by measuring some traits of individual anatomy or physiology has led to a specific research area called biometric recognition. This thesis is focused on improving fingerprint recognition systems considering three important problems: fingerprint enhancement, fingerprint orientation extraction and automatic evaluation of fingerprint algorithms. An effective extraction of salient fingerprint features depends on the quality of the input fingerprint. If the fingerprint is very noisy, we are not able to detect a reliable set of features. A new fingerprint enhancement m

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41

Turroni, Francesco <1983&gt. "Fingerprint Recognition: Enhancement, Feature Extraction and Automatic Evaluation of Algorithms." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4378/.

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The identification of people by measuring some traits of individual anatomy or physiology has led to a specific research area called biometric recognition. This thesis is focused on improving fingerprint recognition systems considering three important problems: fingerprint enhancement, fingerprint orientation extraction and automatic evaluation of fingerprint algorithms. An effective extraction of salient fingerprint features depends on the quality of the input fingerprint. If the fingerprint is very noisy, we are not able to detect a reliable set of features. A new fingerprint enhancement m

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42

Hagyard, Dominic M. P. "Novel and efficient algorithms for morphological image processing." Thesis, University of East Anglia, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389383.

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43

DERE, Ahmet Murat. "Flight regime recognition analysis for the army UH-60A IMDS usage." Thesis, Monterey, California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2510.

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Approved for public release; distribution is unlimited<br>Usage Monitoring requires accurate regime recognition. For each regime, there is a usage assigned for each component. For example, the damage accumulated at a component is higher if the aircraft is undergoing a high G maneuver than in level flight. The objective of this research is to establish regime recognition models using classification algorithms. The data used in the analysis are the parametric data collected by the onboard system and the actual data, consisting of the correct regime collected from the flight cards. This stud

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44

Wu, Jianfei. "Vector-Item Pattern Mining Algorithms and their Applications." Diss., North Dakota State University, 2011. https://hdl.handle.net/10365/28841.

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Advances in storage technology have long been driving the need for new data mining techniques. Not only are typical data sets becoming larger, but the diversity of available attributes is increasing in many problem domains. In biological applications for example, a single protein may have associated sequence-, text-, graph-, continuous and item data. Correspondingly, there is growing need for techniques to find patterns in such complex data. Many techniques exist for mapping specific types of data to vector space representations, such as the bag-of-words model for text [58] or embedding in vec

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45

Nettleton, David John. "Evolutionary algorithms in artificial intelligence : a comparative study through applications." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5951/.

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For many years research in artificial intelligence followed a symbolic paradigm which required a level of knowledge described in terms of rules. More recently subsymbolic approaches have been adopted as a suitable means for studying many problems. There are many search mechanisms which can be used to manipulate subsymbolic components, and in recent years general search methods based on models of natural evolution have become increasingly popular. This thesis examines a hybrid symbolic/subsymbolic approach and the application of evolutionary algorithms to a problem from each of the fields of sh

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46

You, Hong. "Robust automatic speech recognition algorithms for dealing with noise and accent." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1997778571&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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47

Ho, Wai Yiu. "License Plate Recognition algorithms and their application to Macao license plates." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2182850.

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48

Assal, Mohamed Helmy Anwar Mohamed. "A study of low level vision algorithms in bar code recognition." Thesis, University of Kent, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328035.

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49

Egan, Thomas Michael. "An investigation into the use of genetic algorithms for shape recognition." Thesis, Open University, 1998. http://oro.open.ac.uk/57748/.

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The use of the genetic algorithm for shape recognition has been investigated in relation to features along a shape boundary contour. Various methods for encoding chromosomes were investigated, the most successful of which led to the development of a new technique to input normalised 'perceptually important point' features from the contour into a genetic algorithm. Chromosomes evolve with genes defining various ways of 'observing' different parts of the contour. The normalisation process provides the capability for multi-scale spatial frequency filtering and fine/coarse resolution of the contou

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50

MELO, GABRIEL CHAVES DE. "ALGORITHMS FOR MOTOR IMAGERY PATTERN RECOGNITION IN A BRAIN-MACHINE INTERFACE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34769@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Uma interface cérebro-máquina (ICM) é um sistema que permite a um indivíduo, entre outras coisas, controlar um dispositivo robótico por meio de sinais oriundos da atividade cerebral. Entre os diversos métodos para registrar os sinais cerebrais, destaca-se a eletroencefalografia (EEG), principalmente por ter uma rápida resposta temporal e não oferecer riscos ao usuário, além de o equipamento ter um baixo custo relativo e ser portátil. Muitas s

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