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1
Geffen, Nathan. "Pattern recognition and the nondeterminable affine parameter problem." Master's thesis, University of Cape Town, 1998. http://hdl.handle.net/11427/9563.
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Bibliography: leaves 112-121.This thesis reports on the process of implementing pattern recognition systems using classification models such as artificial neural networks (ANNs) and algorithms whose theoretical foundations come from statistics. The issues involved in implementing several classification models and pre-processing operators - that are applied to patterns before classification takes place - are discussed and a methodology that is commonly used in developing pattern recognition systems is described. In addition, a number of pattern recognition systems for two image recognition problems that occur in the field of image matching have been developed. These image recognition problems and the issues involved in solving them are described in detail. Numerous experiments were carried out to test the accuracy and speed of the systems developed to solve these problems. These experiments and their results are also discussed.
2
Orellano, Jorge. "Indigenous Rights in Venezuela and the Problem of Recognition." Pontificia Universidad Católica del Perú, 2016. http://repositorio.pucp.edu.pe/index/handle/123456789/78604.
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El reconocimiento de los derechos indígenas en la Constitución de 1999 de Venezuela supone una tensión conceptual en la forma de concebir la ciudadanía: significa el tránsito de una ciudadanía homogénea a otra de carácter multicultural. Sin embargo, la realización de esos derechos ha encontrado dificultades prácticas relativas a la titulación de tierras, carencia de respaldo político a los intereses indígenas, conflictos con las fuerzas armadas, entre otros, que hacen perder de vista los problemas conceptuales que subyacen al reconocimiento y la construcción de ciudadanía. El objetivo de este ensayo, basado en una metodología hermenéutica y apoyada en el análisis del discurso de fuentes documentales, será exponer algunas reflexiones sobre las tensiones conceptuales que subyacen a los problemas de realización de los derechos indígenas en Venezuela en la última década, en especial aquellos relacionados con la construcción de una ciudadanía multicultural. Entre los principales hallazgos destacan la asimilación solapada y el falso reconocimiento en que ha incurrido el actual régimen institucional, y se concluye apuntando la necesidad de avanzar en una concepción intercultural para superar la mera condición multicultural de los derechos indígenas, aunado al necesario impulso de un marco democrático representativo para un genuino reconocimiento y ciudadanía plena.The recognition of indigenous rights in the Constitution of Venezuela 1999 represents a conceptual tension in the way of conceiving the citizenship: means transit of a homogeneous citizenship to other multicultural character. However, the realization of those rights has found practical difficulties relating to land titling, lack of political backing for indigenous interests, conflicts with the armed forces, among others, that do lose sight of the conceptual problems underlying the recognition and the construction of citizenship. The aim of this trial, based on a hermeneutic methodology and supported in discourse analysis of documentary sources, will be present some reflections on conceptual tensions that underlie problems of realization of indigenous rights in Venezuela in the last decade, in particular those related to the construction of a multicultural citizenship.The main findings include overlapping assimilation and false recognition that has incurred the current institutional regime and we conclude pointing the need to move forward in an intercultural concept to surpass mere multicultural condition of indigenous rights coupled with the necessary impulse of a representative democratic framework for a genuine recognition and full citizenship.
3
Papatheou, Evangelos. "Aspects of the pattern recognition problem in vibration-based SHM." Thesis, University of Sheffield, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527216.
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4
DeVinney, Jason G. "The class cover problem and its application in pattern recognition." Available to US Hopkins community, 2003. http://wwwlib.umi.com/dissertations/dlnow/3080651.
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5
Gunay, Serkan. "The Problem Of Self-consciousness And Recognition In Hegel'." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614726/index.pdf.
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The problem of self-consciousness and recognition is one of the most crucial and central issues in Hegel&rsquos Phenomenology of Spirit. The purpose of this study is to expose and investigate this problem in accordance with the unity of Phenomenology through which Hegel examines the experience of consciousness in terms of its own criterion. The emergence of self-consciousness as an explicit issue becomes the truth of movement of consciousness, and self-consciousness essentially takes the form of desire. In this process, self-consciousness evolves from the natural desire to desire for recognition, and recognition by the other arises as the condition of self-consciousness. Besides, the only form of recognition that makes the satisfaction of self-consciousness or desire possible is the reciprocal recognition. Hegel exposes consciousness&rsquo
experience of recognition as the struggle for recognition and the dialectic of master and slave. On the other hand, the process of recognition in the Phenomenology does not culminate in the master-slave dialectic or in the liberation of slave. Rather, the servile consciousness takes another shape that emerges from its contradictory nature and it changes into the freedom of thought. That is, Hegel&rsquo
s concept of recognition cannot be reduced to the master-slave dialectic
the process of recognition persists in the subsequent movement of consciousness and it evolves into certain recognitive relations in the &lsquo
Spirit&rsquo
. For this reason, the problem of self-consciousness and recognition has a determining or constitutive role through the whole movement of consciousness in the Phenomenology.
6
Draper, John Daniel. "Simultaneous Adaptive Fractional Discriminant Analysis: Applications to the Face Recognition Problem." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1331096665.
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7
Steding, Lindsey Heath. "The Relationship of Attributions and Parental Characteristics with Parental Problem Recognition." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6399.
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A significant number of youth experience mental health disorders for which they suffer negative consequences. Although there are evidence-based therapies available to help children and their families, most youth do not receive treatment. Parental problem recognition is likely a primary barrier in this process. This study begins to address why parents may have difficulty recognizing mental health problems by extending existing models and integrating evidence about parental perceptions. Specifically, the study aimed to investigate the relationship between parental attributions and parents’ problem determination, and to examine the influence that parental characteristics have on this judgment process. Participants included 164 parents of youth ages 6-11 years. Purposive sampling was used to recruit mothers and fathers from both lower and higher SES communities. Parents completed self-report measures of parental characteristics, including: parental psychopathology, parenting stress, parental tolerance, and parental self-efficacy. Parents read ten brief child behavior vignettes and completed a version of the Written Analogue Questionnaire to rate the cause of each behavior (assuming it was their own child in the vignette) along four dimensions. Parents also rated the extent to which the behavior was seen as a problem. Results indicated that parents’ causal attributions were highly associated with parents’ problem ratings, and the attributions of stability and controllability were particularly robust predictors of problem determination. Hypotheses regarding parental characteristics as moderators of the relationship between attributions and problem determination were not supported. Findings are discussed in light of clinical and public health implications; results suggest that recognizing the influence of parental beliefs and attributions may help to increase the efficacy of outreach efforts for early intervention and help seeking for parental concerns.
8
Normandin, Yves. "Hidden Markov models, maximum mutual information estimation, and the speech recognition problem." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39259.
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Hidden Markov Models (HMMs) are one of the most powerful speech recognition tools available today. Even so, the inadequacies of HMMs as a "correct" modeling framework for speech are well known. In that context, we argue that the maximum mutual information estimation (MMIE) formulation for training is more appropriate vis-a-vis maximum likelihood estimation (MLE) for reducing the error rate. We also show how MMIE paves the way for new training possibilities.We introduce Corrective MMIE training, a very efficient new training algorithm which uses a modified version of a discrete reestimation formula recently proposed by Gopalakrishnan et al. We propose reestimation formulas for the case of diagonal Gaussian densities, experimentally demonstrate their convergence properties, and integrate them into our training algorithm. In a connected digit recognition task, MMIE consistently improves the recognition performance of our recognizer.
9
Kotwal, Thomas (Thomas Prabhakar Pramod) 1978. "The untrusted computer problem and camera based authentication using optical character recognition." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87272.
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10
Travis, Clive Hathaway. "The inverse problem and applications to optical and eddy current imaging." Thesis, University of Surrey, 1989. http://epubs.surrey.ac.uk/804869/.
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11
Brindle, David. "Experiments in the application of rough sets to the problem of speech recognition." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0016/MQ54691.pdf.
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12
Slater, Charles. "Medical students' recognition of core knowledge in a supported problem-based learning curriculum." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/11215.
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Includes bibliographical references (leaves 82-86).This study aims to achieve insight into how students identify core knowledge in a supported problem-based learning (PBL) medical curriculum. Self-directed learning and an emphasis on the clinical relevance of core knowledge are features of this curriculum.
13
Knight, Kenneth. "Recognition through Misrecognition: Kant, Hegel and the Problem of United Life in Modernity." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1885544311&sid=11&Fmt=2&clientId=1509&RQT=309&VName=PQD.
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14
Wojnowski, Christine. "Reasoning with visual knowledge in an object recognition system /." Online version of thesis, 1990. http://hdl.handle.net/1850/10596.
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15
Abderrahmane, Zineb. "Visuo-Haptic recognition of daily-life objects : a contribution to the data scarcity problem." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS036/document.
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Il est important pour les robots de pouvoir reconnaître les objets rencontrés dans la vie quotidienne afin d’assurer leur autonomie. De nos jours, les robots sont équipés de capteurs sophistiqués permettant d’imiter le sens humain du toucher. C’est ce qui permet aux robots interagissant avec les objets de percevoir les propriétés (telles la texture, la rigidité et la matière) nécessaires pour leur reconnaissance. Dans cette thèse, notre but est d’exploiter les données haptiques issues de l’interaction robot-objet afin de reconnaître les objets de la vie quotidienne, et cela en utilisant les algorithmes d’apprentissage automatique. Le problème qui se pose est la difficulté de collecter suffisamment de données haptiques afin d’entraîner les algorithmes d’apprentissage supervisé sur tous les objets que le robot doit reconnaître. En effet, les objets de la vie quotidienne sont nombreux et l’interaction physique entre le robot et chaque objet pour la collection des données prend beaucoup de temps et d’efforts. Pour traiter ce problème, nous développons un système de reconnaissance haptique permettant de reconnaître des objets à partir d'aucune, de une seule, ou de plusieurs données d’entraînement. Enfin, nous intégrons la vision afin d’améliorer la reconnaissance d'objets lorsque le robot est équipé de camérasRecognizing surrounding objects is an important skill for the autonomy of robots performing in daily-life. Nowadays robots are equipped with sophisticated sensors imitating the human sense of touch. This allows the recognition of an object based on information ensuing from robot-object physical interaction. Such information can include the object texture, compliance and material. In this thesis, we exploit haptic data to perform haptic recognition of daily life objects using machine learning techniques. The main challenge faced in our work is the difficulty of collecting a fair amount of haptic training data for all daily-life objects. This is due to the continuously growing number of objects and to the effort and time needed by the robot to physically interact with each object for data collection. We solve this problem by developing a haptic recognition framework capable of performing Zero-shot, One-shot and Multi-shot Learning. We also extend our framework by integrating vision to enhance the robot’s recognition performance, whenever such sense is available
16
Kruse, Monica. "An Exploration of Parent Problem Recognition and Help-Seeking Behaviors for Child Mental Health Difficulties." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2846.
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Approximately 40% of youth experience psychological problems; however, less than half receive necessary services. Several help-seeking models suggest that for children to receive psychological care parents must: recognize a problem, decide to seek help, and select a service. The parent problem recognition stage has been largely overlooked in the literature and few studies have examined all stages of the process together. The current study aimed to fill gaps in the literature regarding parent problem recognition and explore the help-seeking process for child externalizing problems, anxiety, depression, and sleep difficulties. Data was collected an Amazon’s Mechanical Turk. Participants were 219 parents of children ages 7 to 12 who provided information about help-seeking and child mental health symptoms. Rates of accurate parent problem recognition ranged from 37.6% (sleep) to 66.0% (externalizing concerns). Rates of help-seeking in the current study were low ranging from 42.6% (sleep) to 72.7% (depression) even when parents identified a problem for their child. The severity of the child’s problem and parent past experience with mental health predicted problem identification and help-seeking across most presenting concerns. Specialty mental health services were underutilized across problem areas with over 70% of parents indicating that they had or would seek help from their pediatrician and less than half indicating that they had or would seek help from a therapist or psychologist. Results support previous findings that child psychological problems are under-recognized and under-treated. Future research and clinical work is needed to close the gap between the need for services and service use.
17
Cassar, Quentin. "Terahertz radiations for breast tumour recognition." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0032.
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La faible précision avec laquelle sont délimitées les marges d'exérèse des adénocarcinomes mammaires se traduit par un recours régulier à un second acte chirurgical. Afin d'en limiter la fréquence, la communauté scientifique tente de définir les grands axes de conception d'un système intraopératif permettant la reconnaissance des lésions mammaires malines. Ce manuscrit de thèse rapporte les investigations menées sur la capacité des ondes térahertz à fournir un contraste entre tissus mammaires sains et malins. Les premiers travaux ont montré l'existence d'un contraste sur l'indice de réfraction entre 300 GHz et 1 THz, évalué en moyenne à 8%. Ce dît contraste semble prendre origine dans la dynamique des molécules d'eau intrinsèques aux cellules cancéreuses. Différentes techniques de segmentation d'image, basées sur l'indice de réfraction des zones tissulaires, ont permis de rapporter une sensibilité au cancer jusqu'à 80% tout en maintenant un taux de spécificité de l'ordre de 82%. L'ensemble de ces études a guidé la conception d'un imageur champ-proche opérant à 560 GHz, dont la réponse des différents senseurs est sensible à la permittivité en surface des tissus du seinThe failure to accurately delineate breast tumor margins during breast conserving surgeries results in a 20% re-excision rate. Consequently, there is a clear need for an operating room device that can precisely define intraoperatively breast tumor margins in a simple, fast, and inexpensive manner. This manuscript reports investigations that were conducted towards the ability of terahertz radiations to recognize breast malignant lesions among freshly excised breast volumes. Preliminary works on terahertz far-field spectroscopy have highlighted the existence of a contrast between healthy fibrous tissues and breast tumors by about 8% in refractive index over a spectral window spanning from 300 GHz to 1 THz. The origin for contrast was explored. Results seem to indicate that the dynamics of quasi-free water molecules may be a key factor for demarcation. On these basis, different methods for tissue segmentation based on refractive index map were investigated. A cancer sensitivity of 80% was reported while preserving a specificity of 82%. Eventually, these pilot studies have guided the design of a BiCMOS-compatible near-field resonator-based imager operating at 560 GHz and sensitive to permittivity changes over breast tissue surface
18
Ng, Yik Lun. "Discriminative training of stream weights in a multi-stream HMM as a linear programming problem /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20NG.
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19
Altun, Halis. "Evaluation of neural learning in a MLP NN for an acoustic-to-articulatory mapping problem using different training pattern vector characteristics." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263405.
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20
Hetherington, Irvine Lee. "A characterization of the problem of new, out-of-vocabulary words in continuous-speech recognition and understanding." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36951.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.Includes bibliographical references (p. 167-173).
by Irvine Lee Hetherington.
Ph.D.
21
Copps, Emily Caroline. "Interpersonal Functions of Non-Suicidal Self-Injury and Their Relationship to Facial Emotion Recognition and Social Problem-Solving." Xavier University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=xavier1548244030168887.
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22
Rosato, Matthew J. "Applying conformal mapping to the vertex correspondence problem for 3D face models." Diss., Online access via UMI:, 2007.
Find full text
23
Cook, James Allen. "A decompositional investigation of 3D face recognition." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16653/1/James_Allen_Cook_Thesis.pdf.
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Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community due to its inherent robustness to the pose and illumination variations which plague the 2D modality. The field of 3D face recognition is, however, yet to fully mature and there remain many unanswered research questions particular to the modality. The relative expense and specialty of 3D acquisition devices also means that the availability of databases of 3D face imagery lags significantly behind that of standard 2D face images. Human recognition of faces is rooted in an inherently 2D visual system and much is known regarding the use of 2D image information in the recognition of individuals. The corresponding knowledge of how discriminative information is distributed in the 3D modality is much less well defined. This dissertations addresses these issues through the use of decompositional techniques. Decomposition alleviates the problems associated with dimensionality explosion and the Small Sample Size (SSS) problem and spatial decomposition is a technique which has been widely used in face recognition. The application of decomposition in the frequency domain, however, has not received the same attention in the literature. The use of decomposition techniques allows a map ping of the regions (both spatial and frequency) which contain the discriminative information that enables recognition. In this dissertation these techniques are covered in significant detail, both in terms of practical issues in the respective domains and in terms of the underlying distributions which they expose. Significant discussion is given to the manner in which the inherent information of the human face is manifested in the 2D and 3D domains and how these two modalities inter-relate. This investigation is extended to cover also the manner in which the decomposition techniques presented can be recombined into a single decision. Two new methods for learning the weighting functions for both the sum and product rules are presented and extensive testing against established methods is presented. Knowledge acquired from these examinations is then used to create a combined technique termed Log-Gabor Templates. The proposed technique utilises both the spatial and frequency domains to extract superior performance to either in isolation. Experimentation demonstrates that the spatial and frequency domain decompositions are complimentary and can combined to give improved performance and robustness.
24
Cook, James Allen. "A decompositional investigation of 3D face recognition." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16653/.
Full textAbstract:
Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community due to its inherent robustness to the pose and illumination variations which plague the 2D modality. The field of 3D face recognition is, however, yet to fully mature and there remain many unanswered research questions particular to the modality. The relative expense and specialty of 3D acquisition devices also means that the availability of databases of 3D face imagery lags significantly behind that of standard 2D face images. Human recognition of faces is rooted in an inherently 2D visual system and much is known regarding the use of 2D image information in the recognition of individuals. The corresponding knowledge of how discriminative information is distributed in the 3D modality is much less well defined. This dissertations addresses these issues through the use of decompositional techniques. Decomposition alleviates the problems associated with dimensionality explosion and the Small Sample Size (SSS) problem and spatial decomposition is a technique which has been widely used in face recognition. The application of decomposition in the frequency domain, however, has not received the same attention in the literature. The use of decomposition techniques allows a map ping of the regions (both spatial and frequency) which contain the discriminative information that enables recognition. In this dissertation these techniques are covered in significant detail, both in terms of practical issues in the respective domains and in terms of the underlying distributions which they expose. Significant discussion is given to the manner in which the inherent information of the human face is manifested in the 2D and 3D domains and how these two modalities inter-relate. This investigation is extended to cover also the manner in which the decomposition techniques presented can be recombined into a single decision. Two new methods for learning the weighting functions for both the sum and product rules are presented and extensive testing against established methods is presented. Knowledge acquired from these examinations is then used to create a combined technique termed Log-Gabor Templates. The proposed technique utilises both the spatial and frequency domains to extract superior performance to either in isolation. Experimentation demonstrates that the spatial and frequency domain decompositions are complimentary and can combined to give improved performance and robustness.
25
Atesoslu, Guclu. "Intersubjectivity And The Problem Of Freedom In The Philosophy Of Hegel." Master's thesis, METU, 2003. http://etd.lib.metu.edu/upload/1011857/index.pdf.
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Hegel's system, with a purpose of being the newest philosophy, represents a turning point in the history of thought. In contrast to the philosophical thoguht of Enlightenment which seperates branches of knowledge, or that of philosophy, Hegel tries to recombine them. In this study, I intend to reveal the close connection of the concepts appeared in the two works of Georg Wilhelm Friedrich Hegel, namely, The Phenomenology of Spirit (Phä
nomenologie des Geistes) and Elements of the Philosophy of Right (Grundlinien der Philosophie des Rechts). These concepts are consciousness, self-consciousness, desire, recognition, freedom and intersubjectivity that are very important for considering self-actualization of the individual and for understanding also the process of human socialization. In this sense, Hegel&rsquo
s philosophy, in general, is an attempt to analyze modern society through the light of these conceptions which are still central to our aspirations as reflective social beings.
26
Maddukuri, Achyutha Ramarao. "Fractional Fourier Transform and Scaling Problem in Signals and Images." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16985.
Full textAbstract:
Context: We identify a material or thing that can be seen and touched in the world as having structures at both coarser and finer levels of scale. Scaling problem presents in a branch of science concerned with the description, prediction understanding of natural phenomena and visual arts. A moon, for instance, may appear as having a roughly round shape is much larger than stars when seen from the earth. In the closer look, the moon is much smaller than the stars. The fact that objects in the world appear in different ways depending upon the scale of observation has important implications when analyzing measured data, such as images, with automatic methods [1]. The type of information we are seeking from a one-dimensional signal or two-dimensional image is only possible when we have the right amount of scale for the structure of an image or signal data. In many modern applications, the right scale need not be obvious at all, and we all need a complete mathematical analysis on this scaling problem. This thesis is shown how a mathematical theory is formulated when data or signal is describing at different scales. Objectives: The subtle patterns deforming in data that can foretell of a scaling problem? The main objectives of this thesis are to address the dynamic scaling pattern problem in computers and study the different methods, described in the latest issue of Science, are designed to identify the patterns in data. Method: The research methodology used in this thesis is the Fractional Fourier Transform. To recognize the pattern for a different level of scale to one or many components, we take the position and size of the object and perform the transform operation in any transform angle and deform the component by changing to another angle which influences the frequency, phase, and magnitude. Results: We show that manipulation of Fractional Fourier transform can be used as a pattern recognition system. The introduced model has the flexibility to encode patterns to both time and frequency domain. We present a detailed structure of a dynamic pattern scaling problem. Furthermore, we show successful recognition results even though one or many components deformed to different levels using one-dimensional and two-dimensional patterns. Conclusions: The proposed algorithm FrFT has shown some advantages over traditional FFT due to its competitive performance in studying the pattern changes. This research work investigated that simulating the dynamic pattern scaling problem using FrFT. The Fractional Fourier transform does not do the scaling. Manipulating the Fractional Fourier transform can be helpful in perceiving the pattern changes. We cannot control the deformation but changing the parameters allow us to see what is happening in time and frequency domain.
27
Moskvyak, Olga. "Learning from limited annotated data for re-identification problem." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/226866/1/Olga_Moskvyak_Thesis.pdf.
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The project develops machine learning methods for the re-identification task, which is matching images from the same category in a database. The thesis proposes approaches to reduce the influence of two critical challenges in image re-identification: pose variations that affect the appearance of objects and the need to annotate a large dataset to train a neural network. Depending on the domain, these challenges occur to a different extent. Our approach demonstrates superior performance on several benchmarks for people, cars, and animal categories.
28
Hawes, Nicholas E. "Parental Strategies of Normalization in Account Giving for Child Behavioral Issues." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313688554.
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Vargas, Rosa Nathalie Portugal. "Identificação da cobertura espacial de documentos usando mineração de textos." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07122012-142831/.
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Atualmente, é comum que usuários levem em consideração a localização geográfica dos documentos, é dizer considerar o escopo geográfico que está sendo tratado no contexto do documento, nos processos de Recuperação de Informação. No entanto, os sistemas convencionais de extração de informação que estão baseados em palavras-chave não consideram que as palavras podem representar entidades geográficas espacialmente relacionadas com outras entidades nos documentos. Para resolver esse problema, é necessário viabilizar o georreferenciamento dos textos, ou seja, identificar as entidades geográficas presentes e associá-las com sua correta localização espacial. A identificação e desambiguação das entidades geográficas apresenta desafios importantes, principalmente do ponto de vista linguístico, já que um topônimo, pode possuir variados tipos de ambiguidade associados. Esse problema de ambiguidade causa ruido nos processos de recuperação de informação, já que o mesmo termo pode ter informação relevante ou irrelevante associada. Assim, a principal estratégia para superar os problemas de ambiguidade, compreende a identificação de evidências que auxiliem na identificação e desambiguação das localidades nos textos. O presente trabalho propõe uma metodologia que permite identificar e determinar a cobertura espacial dos documentos, denominada SpatialCIM. A metodologia SpatialCIM tem o objetivo de organizar os processos de resolução de topônimos. Assim, o principal objetivo deste trabalho é avaliar e selecionar técnicas de desambiguação que permitam resolver a ambiguidade dos topônimos nos textos. Para isso, foram propostas e desenvolvidas as abordagens de (1)Desambiguação por Pontos e a (2)Desambiguação Textual e Estrutural. Essas abordagens, exploram duas técnicas diferentes de desambiguação de topônimos, as quais, geram e desambiguam os caminhos geográficos associados aos topônimos reconhecidos para cada documento. Assim, a hipótese desta pesquisa é que o uso das técnicas de desambiguação de topônimos viabilizam uma melhor localização espacial dos documentos. A partir dos resultados obtidos neste trabalho, foi possível demonstrar que as técnicas de desambiguação melhoram a precisão e revocação na classificação espacial dos documentos. Demonstrou-se também o impacto positivo do uso de uma ferramenta linguística no processo de reconhecimento das entidades geográficas. Assim, foi demostrada a utilidade dos processos de desambiguação para a obtenção da cobertura espacial dos documentosCurrently, it is usual that users take into account the geographical localization of the documents in the Information Retrieval process. However, the conventional information retrieval systems based on key-word matching do not consider which words can represent geographical entities that are spatially related to other entities in the documents. To solve this problem, it is necessary to enable the geo-referencing of texts by identifying the geographical entities present in text and associate them with their correct spatial location. The identification and disambiguation of the geographical entities present major challenges mainly from the linguistic point of view, since one location can have different types of associated ambiguity. The ambiguity problem causes noise in the process of information retrieval, since the same term may have relevant or irrelevant information associated. Thus, the main strategy to overcome these problems, include the identification of evidence to assist in the identification and disambiguation of locations in the texts. This study proposes a methodology that allows the identification and spatial localization of the documents, denominated SpatialCIM. The SpatialCIM methodology has the objective to organize the Topônym Resolution process. Therefore the main objective of this study is to evaluate and select disambiguation techniques that allow solving the toponym ambiguity in texts. Therefore, we proposed and developed the approaches of (1) Disambiguation for Points and (2) Textual and Structural Disambiguation. These approaches exploit two different techniques of toponym disambiguation, which generate and desambiguate the associated paths with the recognized geographical toponym for each document. Therefore the hypothesis is, that the use of the toponyms disambiguation techniques enable a better spatial localization of documents. From the results it was possible to demonstrate that the disambiguation techniques improve the precision and recall for the spatial classification of documents. The positive effect of using a linguistic tool for the process of geographical entities recognition was also demonstrated. Thus, it was proved the usefulness of the disambiguation process for obtaining a spatial coverage of the document
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Thurston, Idia Binitie. "Help-Seeking and Utilization Patterns among African American and Caucasian Mothers and Fathers: An Examination of Parental Problem Recognition, Barriers, and Beliefs." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1790.
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The underutilization of mental health services is a pervasive problem that persists despite efforts by researchers and interventionists to make treatment accessible. Several factors have been hypothesized to contribute to these underutilization rates including sociopolitical factors (financial and structural barriers), and cultural/familial factors (race, ethnicity, socioeconomic status, gender, age, marital status, attitudes, beliefs, and stigma). The current study set out to explore patterns of child mental health service utilization based on parents' perceptions. Guided by "The Youth Help-Seeking and Service Utilization Model," the relationship between parental problem recognition and willingness to seek formal and informal help as influenced by parents' demographic variables, sociocultural beliefs, experience, perceived need, family characteristics, and barriers were examined. Parental perceptions of problem behaviors in children were examined through the use of 3 vignettes (internalizing, externalizing, and no diagnosis conditions) varying only by child gender. A total of 251 Black and White parents from the community participated in this study. Data analyses involved correlations, t-tests, general linear modeling procedures (including ANOVA, ANCOVA, and multiple regressions), non-parametric tests, and logistic regression analyses. As hypothesized, results revealed that more parents recognized the internalizing and externalizing vignettes as problematic, parents reported stronger intentions to seek help when they recognized a mental health problem, and they were more willing to seek help for a boy with an internalizing problem than a girl. Additionally, perceived severity was related to recognition of both internalizing and externalizing problems. Gender, race, and previous experience were related to parents' recognition and willingness to seek help; with mothers, white parents, and those with more experience recognizing problems and expressing willingness to seek help for an internalizing problem. Finally, perception of barriers and certain beliefs impacted parents' willingness to seek help. The implications of this study with respect to help-seeking patterns for youth will be discussed. In addition, results will be discussed with an eye toward service providers' and intervention researchers' shaping the referral process, keeping families in treatment, and developing strategies aimed at improving problem recognition and help-seeking with eventual goals of increasing actual utilization of mental health services for mothers, fathers, and their children.
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Leach, Charles Edward. "An Investigation of Training in Creative Problem Solving and its Relationship to Affective and Effective Idea Generation of Entrepreneurial Learners." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/208.
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A significant proportion of the population engages in entrepreneurial behavior but many ventures do not survive beyond startup thus decreasing the pool of entrepreneurs available to contribute to the economy. Opportunity recognition is central to entrepreneurial success and the improper delineation of opportunities is cited as a leading cause of venture failure. There is a logical link between creativity, innovation and entrepreneurship. The goal of the researcher in this study was to explore the relationships between CPS training and the generation of entrepreneurial ideas.
The investigation studied the relationship of training in creative problem solving (CPS) to the opportunity identification skills of entrepreneurial learners. It was hypothesized that CPS training would positively impact attitudes relating to divergent thinking, would increase the number of opportunities identified and would increase the quality of opportunities identified. The tutorial was targeted at novice entrepreneurs who were in the initial stages of identifying an opportunity. Quality at this early stage in the venture formation process was defined as the degree to which the idea meshed with the learner's interests and passions and the extent to which they possessed prior experience.
An experimental research design was used and participants were randomly assigned to either a treatment or control group. There were no statistically significant differences in composition between the treatment and control groups. There were statistically significant differences found in one of the two divergent thinking constructs - the tendency to make premature evaluations. Two measures of ideational fluency were tested. No statistically significant differences were found in fluency for the post-test/pre-test measure within the treatment group or between the treatment and control group. Statistically significant differences were found in the number of unique ideas generated post-test/pre-test (within the treatment group and between the treatment and control group) and statistically significant differences were also found in the unique bottles measure (within group only). There were no statistically significant differences found in the 4 quality measures.
The findings in this study have the potential to strengthen the link between the enhancement of creative performance and the generation of entrepreneurial ideas. The research also holds the potential to provide practical guidelines for use of instructional techniques for training in opportunity recognition but also more broadly across the continuum of entrepreneurship education. The objective of the training was to increase the size and the quality of the venture idea pool that entrepreneurs draw from when initiating ventures.
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Sahin, Ferat. "A Radial Basis Function Approach to a Color Image Classification Problem in a Real Time Industrial Application." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36847.
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In this thesis, we introduce a radial basis function network approach to solve a color image classification problem in a real time industrial application. Radial basis function networks are employed to classify the images of finished wooden parts in terms of their color and species. Other classification methods are also examined in this work. The minimum distance classifiers are presented since they have been employed by the previous research.
We give brief definitions about color space, color texture, color quantization, color classification methods. We also give an intensive review of radial basis functions, regularization theory, regularized radial basis function networks, and generalized radial basis function networks. The centers of the radial basis functions are calculated by the k-means clustering algorithm. We examine the k-means algorithm in terms of starting criteria, the movement rule, and the updating rule. The dilations of the radial basis functions are calculated using a statistical method.
Learning classifier systems are also employed to solve the same classification problem. Learning classifier systems learn the training samples completely whereas they are not successful to classify the test samples. Finally, we present some simulation results for both radial basis function network method and learning classifier systems method. A comparison is given between the results of each method. The results show that the best classification method examined in this work is the radial basis function network method.Master of Science
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Al, Fayyoumi Nedal Ahmed. "The market response to the recognition of bad debt : contagion effects and competitive effects in the banking sector following problem loan write-offs." Thesis, Bangor University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287028.
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Sato, Rachel Akiko. "Examining young Australian men's help-seeking towards mental well-being in a problematic online gaming context." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/108149/1/Rachel%20Akiko_Sato_Thesis.pdf.
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This social marketing thesis examined the help-seeking behaviour of young Australian men aged 18-25 years old towards overcoming problematic online gaming. The thesis utilised a three-part mixed methodology that builds upon the Model of Goal-directed Behaviour to develop a revised conceptual model that was tested through a web-based survey. Critical Incident Technique and in-depth interviews were also used to explore the key triggers of problem recognition and the competing coping behaviours of help-seeking, providing fresh insights into help-seeking and social marketing.
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Кічангіна, Ольга Євгенівна. "Система розпізнавання хвороби Альцгеймера по знімкам МРТ за допомогою нейронних мереж." Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/45218.
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Дипломна робота: 122 c., 10 табл., 40 рис., 2 додатка, 24 джерела.
Об’єкт дослідження: розпізнавання хвороби Альцгеймера по знімках МРТ.
Предмет дослідження: аналіз методів та моделей для вирішення поставленої задачі.
Мета дослідження: дослідити існуючі методи розпізнавання та класифікації зображень, розробити власну систему розпізнавання хвороби Альцгеймера по знімках МРТ за допомогою алгоритму, який базується на існуючих підходах до вирішення даного завдання.
Використані моделі: у програмній реалізації було використано базові моделі ResNet50, VGG19 та InceptionV3, згортковий автокодувальник та алгоритм KNN.
Отриманні результати: побудована система розпізнавання хвороби Альцгеймера, що може відносити знімок МРТ до одного з 3 класів: Normal, OldAge та AD з точністю 88%.Thesis: 122 p., 10 tabl., 40 fig., 2 appendices, 24 sources. Object of research: recognition of Alzheimer's disease by MRI. Subject of research: analysis of methods and models for solving the problem. The purpose of the study: to study the existing methods of image recognition and classification, to develop our own system of Alzheimer's disease detection by MRI images using an algorithm based on existing approaches to solve our task. Used models: the software implementation used the basic models ResNet50, VGG19 and InceptionV3, convolutional autoencoder and KNN algorithm. Results: built a system for recognizing Alzheimer's disease, which can assign an MRI image to one of 3 classes: Normal, OldAge and AD with accuracy 88%.
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Kemp, Deena G. "Source credibility and public information campaigns : the effect of audience evaluations of organizational sponsors on message acceptance." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002232.
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Hooper, Richard. "Minimal kernal classifiers for pattern recognition problems." Thesis, University of Cambridge, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243052.
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Naha, Shujon. "Zero-shot Learning for Visual Recognition Problems." IEEE, 2015. http://hdl.handle.net/1993/31806.
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In this thesis we discuss different aspects of zero-shot learning and propose solutions for three challenging visual recognition problems: 1) unknown object recognition from images 2) novel action recognition from videos and 3) unseen object segmentation. In all of these three problems, we have two different sets of classes, the “known classes”, which are used in the training phase and the “unknown classes” for which there is no training instance. Our proposed approach exploits the available semantic relationships between known and unknown object classes and use them to transfer the appearance models from known object classes to unknown object classes to recognize unknown objects. We also propose an approach to recognize novel actions from videos by learning a joint model that links videos and text. Finally, we present a ranking based approach for zero-shot object segmentation. We represent each unknown object class as a semantic ranking of all the known classes and use this semantic relationship to extend the segmentation model of known classes to segment unknown class objects.October 2016
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Chen, Qian. "Scanning probe recognition microscopy recognition strategies /." Diss., Connect to online resource - MSU authorized users, 2007.
Find full textAbstract:
Thesis (Ph. D.)--Michigan State University. Dept. of Electrical & Computer Engineering, 2007.Title from PDF t.p. (viewed on Apr. 21, 2009) Includes bibliographical references (p. 123-129). Also issued in print.
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Falk, Jennie, and Gabriella Hultström. "Support Vector Machines for Optimizing Speaker Recognition Problems." Thesis, KTH, Optimeringslära och systemteori, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103821.
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Classi cation of data has many applications, amongst others within the eld of speaker recognition. Speaker recognition is the part of speech processing concerned with the task of automatically identifying or verifying speakers using dierent characteristics of their voices. The main focus in speaker recognition is to nd methods that separate data, in order to dierentiate between dierent speakers. In this thesis, such a method is obtained by building a support vector machine, which has proved to be a very good tool for separating all kinds of data. The rst version of the support vector machine is used to separate linearly separable data using linear hyperplanes, and it is then modi ed to separate linearly non-separable data, by allowing some data points to be misclassi ed. Finally, the support vector machine is improved further, through a generalization to higher dimensional data and by the use of dierent kernels and thus higher order hyperplanes. The developed support vector machine is in the end used on a set of speaker recognition data. The separation of two speakers are not very satisfying, most likely due to the very limited set of data. However, the results are very good when the support vector machine is used on other, more complete, sets of data.Klassi cering av data har manga anvandningsomraden, bland annat inom rostigenkanning. Rostigenkanning ar en del av talmodellering som behandlar problemet med att kunna identi era talare och veri era en talares identitet med hjalp av karakteristiska drag hos dennes rost. Fokus ligger pa att hitta metoder som kan separera data, for att sedan kunna separera talare. I detta kandidatexamensarbete byggs, for detta syfte, en support vector machine som has visats vara ett bra satt att separera olika data. Den forsta versionen anvands pa data som ar linjart separerbart i tva dimensioner, sedan utvecklas den till att kunna separera data som inte ar linjart separerbart, genom att tillata vissa datapunkter att bli felklassi cerade. Slutligen modi eras denna support vector machine till att kunna separera data i hogre dimensioner, samt anvanda olika karnor for att ge separerande hyperplan av hogre ordning. Den fardiga versionen av denna support vector machine anvands till sist pa data for ett rostigenkanningsproblem. Resultatet av att separera tva talare var inte tillfredsstallande, dock skulle mer data fran olika talare ge ett battre resultat. Nar daretmot en annan, mer komplett, mangd av data anvands for att bygga denna support vector machine blir resultatet valdigt bra.
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Howe, J. C. "Emotion recognition problems after brain injury : development of the Brief Emotion Recognition Test (BERT)." Thesis, University of the West of England, Bristol, 2018. http://eprints.uwe.ac.uk/34056/.
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Difficulty recognising emotion can have a major impact on psychosocial outcome following acquired brain injury. The need to have an easily administered screening test which enables clinicians to quickly assess this ability has been identified. In this thesis, the development of the Brief Emotion Recognition Test (BERT) is described. It is anticipated that the BERT will provide a reliable and valid screening measure for emotion recognition problems after acquired brain injury. The test consists of 14 short video clips of actors portraying positive, negative and neutral emotions. After watching each video clip viewers are asked to choose which emotion was being portrayed from a list of six emotions (happy, sad, surprise, anger, fear, disgust) and neutral. Half of the clips include facial expressions only (no phrase) and the other half include facial expressions and vocal cues in the form of neutral carrier phrases (with phrase). The performance of 92 neurologically healthy adults was compared with that of 20 adults who had sustained moderate-to-severe brain injury. Validity and reliability of the test were assessed. Test-retest reliability was good. The BERT has good discriminant and concurrent reliability. There was a statistically significant difference in performance (p < 0.05) between the groups. The neurologically healthy group were more accurate regarding five clips in the 'no phrase' condition; five of the seven in the 'with phrase' trial; and in the total overall score. Overall findings for this pilot study suggest the BERT provides a valid, reliable means of rapidly screening for emotion recognition difficulties after brain injury.
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Fletcher, Gordon James. "Geometrical problems in computer vision." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337166.
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Popescu, Diana-Elena. "Dynamic injustice : interlocking recognition and distribution." Thesis, London School of Economics and Political Science (University of London), 2018. http://etheses.lse.ac.uk/3796/.
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Theories of justice are usually divided in aim and sphere of operation between redistributive justice (allocation of goods and resources) and recognition justice (ensuring respect and esteem between members of societies regardless of race, ethnicity, sexuality etc.). Divorcing the two is said to create conceptual clarity, but policy chaos in the treatment of complex injustices. Contrary to the received view, my thesis argues recognition and redistribution can only provide an adequate conceptual framework for questions of justice if they operate together and show this in relation to socially excluded and discriminated against groups, with a particular focus on the case of the Roma minority. The first chapter criticises existing theoretical approaches to the connection between recognition and redistribution, most notably Fraser's ‘different logics’ argument. The following chapters establish that neither recognition nor redistribution are theoretically sufficient for capturing the meaning of injustice in certain cases: Chapter 2 argues recognition faces a ‘symmetry problem’ between just and unjust struggles, requiring appeals to redistribution as a demarcation criterion. Chapter 3 argues redistributive attempts to define disability fail to capture the recognition-based concerns of the social model of disability and extrapolates the argument from the 'special' case of disability to the (unfortunately) common case of ethnic discrimination, focusing on the Roma minority. Chapters 4 and 5 define and defend a view of discrimination as a specific pattern of interaction between recognition and redistribution, similar to Sunstein's anti-caste principle but allowing for relevant markers to be socially (rather than physiologically) defined. Chapter 6 argues social exclusion is also, contrary to most current approaches, a matter of recognition and not only redistribution, showing how the two dimensions interact in the case of the Roma minority. I conclude by pointing out that discrimination and social exclusion, while often regarded as separate social issues, are structurally similar with regards to the underlying dynamic between the redistributive and recognition dimensions.
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Thompson, Charles. "Global approaches to solving recognition problems of noisy images." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 1989. http://digitalcommons.auctr.edu/dissertations/1099.
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Fields, Alicia D. "Recognition of facial affect in adults with attention problems." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/2984.
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Thesis (Ph.D.)--George Mason University, 2008.Vita: p. 107. Thesis director: Johannes Rojahn. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Psychology. Title from PDF t.p. (viewed Oct. 15, 2008). Includes bibliographical references (p. 96-106). Also issued in print.
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Chen, Dan. "An adaptive weighting algorithm for limited dataset verification problems." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B3204897X.
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Sadek, Rida. "Some problems on temporally consistent video editing and object recognition." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/101413.
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Video editing and object recognition are two significant fields in computer vi-
sion: the first has remarkably assisted digital production and post-production
tasks of a digital video footage; the second is considered fundamental to image
classification or image based search in large databases (e.g. the web). In this
thesis, we address two problems, namely we present a novel formulation that
tackles video editing tasks and we develop a mechanism that allows to generate
more robust descriptors for objects in an image.
Concerning the first problem, this thesis proposes two variational models to
perform temporally coherent video editing. These models are applied to change
an object’s (rigid or non-rigid) texture throughout a given video sequence. One
model is based on propagating color information from a given frame (or be-
tween two given frames) along the motion trajectories of the video; while the
other is based on propagating gradient domain information. The models we
present in this thesis require minimal user intervention and they automatically
accommodate for illumination changes in the scene.
Concerning the second problem, this thesis addresses the problem of affine
invariance in object recognition. We introduce a way to generate geometric
affine invariant quantities that are used in the construction of feature descrip-
tors. We show that when these quantities are used they do indeed achieve a
more robust recognition than the state of the art descriptors.
iLa edición de vídeo y el reconocimiento de objetos son dos áreas fundamentales en el campo de la visión por computador: la primera es de gran utilidad en los procesos de producción y post-producción digital de vídeo; la segunda es esencial para la clasificación o búsqueda de imágenes en grandes bases de datos (por ejemplo, en la web). En esta tesis se acometen ambos problemas, en concreto, se presenta una nueva formulación que aborda las tareas de edición de vídeo y se desarrolla un mecanismo que permite generar descriptores más robustos para los objetos de la imagen. Con respecto al primer problema, en esta tesis se proponen dos modelos variacionales para llevar a cabo la edición de vídeo de forma coherente en el tiempo. Estos modelos se aplican para cambiar la textura de un objeto (rígido o no) a lo largo de una secuencia de vídeo dada. Uno de los modelos está basado en la propagación de la información de color desde un determinado cuadro de la secuencia de vídeo (o entre dos cuadros dados) a lo largo de las trayectorias de movimiento del vídeo. El otro modelo está basado en la propagación de la información en el dominio del gradiente. Ambos modelos requieren una intervención mínima por parte del usuario y se ajustan de manera automática a los cambios de iluminación de la escena. Con respecto al segundo problema, esta tesis aborda el problema de la invariancia afín en el reconocimiento de objetos. Se introduce un nuevo método para generar cantidades geométricas afines que se utilizan en la generación de descriptores de características. También se demuestra que el uso de dichas cantidades proporciona mayor robustez al reconocimiento que los descriptores existentes actualmente en el estado del arte.
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Rodner, Erik [Verfasser]. "Learning from Few Examples for Visual Recognition Problems / Erik Rodner." München : Verlag Dr. Hut, 2011. http://d-nb.info/1018982868/34.
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Chen, Dan, and 陳丹. "An adaptive weighting algorithm for limited dataset verification problems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B3204897X.
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He, Tingting, and 何婷婷. "A study on several problems in online handwritten Chinese character recognition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B42182086.
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