Thematische Bibliographien / 3D clustering / Dissertationen
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Dissertationen zum Thema „3D clustering“

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Veröffentlicht am 25. Mai 2024

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1

Petrov, Anton Igorevich. "RNA 3D Motifs: Identification, Clustering, and Analysis." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1333929629.

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2

Wiberg, Benjamin. "Automatic Clustering of 3D Objects for Hierarchical Level-of-Detail." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150534.

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This report describes an algorithm for computing 3D object hierarchies fit for hlod optimization. The algorithm is used as a pre-processing stage in an hlod pipeline that automatically optimizes 3D models containing multiple meshes. The algorithm for generating hierarchies groups together meshes in a hierarchical tree using operations on bounding spheres of the meshes. The algorithm prioritizes grouping close objects together in the early stages, and relaxes its constraints toward the end, resulting in a tree structure with a single root node. The hierarchical tree is then used by computing pr
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Abu, Almakarem Amal S. "Base Triples in RNA 3D Structures: Identifying, Clustering and Classifying." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1308783522.

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4

Borke, Lukas. "Dynamic Clustering and Visualization of Smart Data via D3-3D-LSA." Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18307.

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Mit der wachsenden Popularität von GitHub, dem größten Online-Anbieter von Programm-Quellcode und der größten Kollaborationsplattform der Welt, hat es sich zu einer Big-Data-Ressource entfaltet, die eine Vielfalt von Open-Source-Repositorien (OSR) anbietet. Gegenwärtig gibt es auf GitHub mehr als eine Million Organisationen, darunter solche wie Google, Facebook, Twitter, Yahoo, CRAN, RStudio, D3, Plotly und viele mehr. GitHub verfügt über eine umfassende REST API, die es Forschern ermöglicht, wertvolle Informationen über die Entwicklungszyklen von Software und Forschung abzurufen. Unsere Arbei
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Hasnat, Md Abul. "Unsupervised 3D image clustering and extension to joint color and depth segmentation." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4013/document.

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L'accès aux séquences d'images 3D s'est aujourd'hui démocratisé, grâce aux récentes avancées dans le développement des capteurs de profondeur ainsi que des méthodes permettant de manipuler des informations 3D à partir d'images 2D. De ce fait, il y a une attente importante de la part de la communauté scientifique de la vision par ordinateur dans l'intégration de l'information 3D. En effet, des travaux de recherche ont montré que les performances de certaines applications pouvaient être améliorées en intégrant l'information 3D. Cependant, il reste des problèmes à résoudre pour l'analyse et la se
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Borke, Lukas [Verfasser], Wolfgang Karl [Gutachter] Härdle, and Stefan [Gutachter] Lessmann. "Dynamic Clustering and Visualization of Smart Data via D3-3D-LSA / Lukas Borke ; Gutachter: Wolfgang Karl Härdle, Stefan Lessmann." Berlin : Humboldt-Universität zu Berlin, 2017. http://d-nb.info/1189428857/34.

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7

Yu, En. "Social Network Analysis Applied to Ontology 3D Visualization." Miami University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=miami1206497854.

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8

Nawaf, Mohamad Motasem. "3D structure estimation from image stream in urban environment." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4024/document.

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Dans le domaine de la vision par ordinateur, l’estimation de la structure d’une scène 3D à partir d’images 2D constitue un problème fondamental. Parmi les applications concernées par cette problématique, nous nous sommes intéressés dans le cadre de cette thèse à la modélisation d’un environnement urbain. Nous nous sommes intéressés à la reconstruction de scènes 3D à partir d’images monoculaires générées par un véhicule en mouvement. Ici, plusieurs défis se posent à travers les différentes étapes de la chaine de traitement inhérente à la reconstruction 3D. L’un de ces défis vient du fait de l’a
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Kéchichian, Razmig. "Structural priors for multiobject semi-automatic segmentation of three-dimensional medical images via clustering and graph cut algorithms." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00967381.

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We develop a generic Graph Cut-based semiautomatic multiobject image segmentation method principally for use in routine medical applications ranging from tasks involving few objects in 2D images to fairly complex near whole-body 3D image segmentation. The flexible formulation of the method allows its straightforward adaption to a given application.\linebreak In particular, the graph-based vicinity prior model we propose, defined as shortest-path pairwise constraints on the object adjacency graph, can be easily reformulated to account for the spatial relationships between objects in a given pro
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Dolet, Aneline. "2D and 3D multispectral photoacoustic imaging - Application to the evaluation of blood oxygen concentration." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI070/document.

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L'imagerie photoacoustique est une modalité d'imagerie fonctionnelle basée sur la génération d'ondes acoustiques par des tissus soumis à une illumination optique (impulsion laser). L'utilisation de différentes longueurs d'ondes optiques permet la discrimination des milieux imagés. Cette modalité est prometteuse pour de nombreuses applications médicales liées, par exemple, à la croissance, au vieillissement et à l'évolution de la vascularisation des tissus. En effet, l'accès à l'oxygénation du sang dans les tissus est rendu possible par l'imagerie photoacoustique. Cela permet, entre autres appl
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Trávníčková, Kateřina. "Interaktivní segmentace 3D CT dat s využitím hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432864.

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This thesis deals with CT data segmentation using convolutional neural nets and describes the problem of training with limited training sets. User interaction is suggested as means of improving segmentation quality for the models trained on small training sets and the possibility of using transfer learning is also considered. All of the chosen methods help improve the segmentation quality in comparison with the baseline method, which is the use of automatic data specific segmentation model. The segmentation has improved by tens of percents in Dice score when trained with very small datasets. T
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Šalplachta, Jakub. "Analýza 3D CT obrazových dat se zaměřením na detekci a klasifikaci specifických struktur tkání." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316836.

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This thesis deals with the segmentation and classification of paraspinal muscle and subcutaneous adipose tissue in 3D CT image data in order to use them subsequently as internal calibration phantoms to measure bone mineral density of a vertebrae. Chosen methods were tested and afterwards evaluated in terms of correctness of the classification and total functionality for subsequent BMD value calculation. Algorithms were tested in programming environment Matlab® on created patient database which contains lumbar spines of twelve patients. Following sections of this thesis contain theoretical rese
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Mauss, Benoit. "Réactions élastiques et inélastiques résonantes pour la caractérisation expérimentale de la cible active ACTAR TPC." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMC226/document.

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ACTAR TPC (ACtive TARget and Time Projection Chamber) est une cible active de nouvelle génération construite au GANIL (Grand Accélérateur d'Ions Lourds). Les cibles actives sont des cibles gazeuses où le gaz permet de détecter le passage de particules chargées selon le principe des chambres à projection temporelle (TPC). La TPC d'ACTAR est formée d'une anode segmentée de 16384 pixels carrés de 2 mm de côté. La haute densité de voies est gérée par le système électronique GET (General Electronics for TPCs). Ce système digitalise également les signaux sur un intervalle de temps donné, pour une re
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Rouleau, Turcotte Audrey. "Étude du comportement des piles de pont confinées de PRFC par écoute acoustique." Mémoire, Université de Sherbrooke, 2016. http://hdl.handle.net/11143/9450.

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Une structure en béton armé est sujette à différents types de sollicitations. Les tremblements de terre font partie des événements exceptionnels qui induisent des sollicitations extrêmes aux ouvrages. Pour faire face à cette problématique, les codes de calcul des ponts routiers font appel à une approche basée sur des niveaux de performance qui sont rattachés à des états limites. Actuellement, les états limites d'une pile de ponts en béton armé (BA) confinée à l'aide de polymères renforcés de fibres de carbone (PRFC) proposés dans la littérature ne prennent pas en compte le confinement lié au c
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15

Cebecauer, Matej. "Short-Term Traffic Prediction in Large-Scale Urban Networks." Licentiate thesis, KTH, Transportplanering, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-250650.

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City-wide travel time prediction in real-time is an important enabler for efficient use of the road network. It can be used in traveler information to enable more efficient routing of individual vehicles as well as decision support for traffic management applications such as directed information campaigns or incident management. 3D speed maps have been shown to be a promising methodology for revealing day-to-day regularities of city-level travel times and possibly also for short-term prediction. In this paper, we aim to further evaluate and benchmark the use of 3D speed maps for short-term tra
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16

Bandieramonte, Marilena. "Muon Portal project: Tracks reconstruction, automated object recognition and visualization techniques for muon tomography data analysis." Doctoral thesis, Università di Catania, 2015. http://hdl.handle.net/10761/3751.

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The present Ph.D. thesis is contextualized within the Muon Portal project, a project dedicated to the creation of a tomograph for the control and scanning of containers at the border in order to reveal smuggled fissile material by means of the cosmic muons scattering. This work aims to extend and consolidate the research in the field of muon tomography in the context of applied physics. The main purpose of the thesis is to investigate new techniques for reconstruction of muon tracks within the detector and new approaches to the analysis of data from muon tomography for the automatic objects re
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17

Li, Yichao. "Algorithmic Methods for Multi-Omics Biomarker Discovery." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1541609328071533.

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18

Chaumont, Marc. "Représentation en objets vidéo pour un codage progressif et concurrentiel des séquences d'images." Phd thesis, Université Rennes 1, 2003. http://tel.archives-ouvertes.fr/tel-00004146.

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L'objectif de cette thèse est de valider l'hypothèse selon laquelle le codage par objets vidéo peut permettre d'obtenir des gains significatifs en utilisant le codage dynamique (mise en concurrence de plusieurs codeurs pour chaque objet vidéo). Afin de répondre à cet objectif, différents points ont été étudiés. Le premier point concerne l'étude de la segmentation en objet vidéo de manière automatique. Nous avons proposé un modèle d'objet faisant intervenir la notion de suivi long terme via la représentation d'un objet sous la forme mouvement/texture (avec l'utilisation d'un maillage actif pour
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19

Tsai, Cheng-Lin, and 蔡政霖. "3D Cell Segmentation by Spatial Clustering of Subcellular Organelles." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/81778083199883054045.

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碩士<br>國立陽明大學<br>生物醫學資訊研究所<br>102<br>Automatic segmentation of cell images is an essential task in a variety of biomedical applications. There are six main classes of approaches: intensity thresholding, feature detection, morphological ?ltering, region accumulation, deformable model ?tting, and other approaches. In this thesis, we investigate whether spatial clustering of subcellular organelles is useful for 3D cell segmentation. We used CHO cell 3D images as our dataset. The nuclear channel is segmented by double Otsu methods and mitochondrial channel is segmented by adaptive local thresholdi
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Lu, Yu-Ching, and 呂宥瑾. "A Density-Based Clustering Color Consistency Method for 3D Object Reconstruction." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/24888197886872449896.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>96<br>A voxel-based approach for 3D object reconstruction is used in this thesis, and there are four steps in the process of a voxel-based 3D reconstruction system. In the first step, the camera is calibrated, and the purpose of camera calibration is to acquire the intrinsic and extrinsic parameters of the camera. Second, image segmentation is executed to extract object from background. Third, a 3D model is built, and the coordinates and colors information of a large amount of surface points of the object are determined. The third step includes two sub-steps that a
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21

Yang, Tzu-Chieh, and 楊子頡. "Three-Dimensional Possibilistic C-Template Shell Clustering and its Application in 3D Object Segmentation." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/38716084468398410151.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>104<br>The purpose of this thesis is to use a model to match a similar object in three-dimensional space.This research includes four main parts: First, using the Kinect sensor to take the real world; second, splitting the point cloud into separate items; third, creating a model to match each individual item; lastly, getting the final result. The thesis includes descriptions on using Kinect to establish a point cloud, using 3D Hough Transform to find and remove the cloud points of planes, and using connected-component to separate individual objects. The focus of this
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Tseng, Wen-Hui, and 曾文慧. "Point Cloud Clustering for Surface Sampling and Its Application on 3D-Printing Quality Inspection." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4n2m76.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>107<br>As 3D printing technology has driven to a maturity stage, this technology has applied to various fields. The growth of the popularity to such smart manufacturing makes quality inspection a sticking point, by applying the quality inspection to 3D printing would contribute to achieve the target of manufacturing high quality 3D models. We proposed the 3D printing quality inspection method based on 3D point cloud clustering. This paper clusters the 3D original point cloud with the proposed principal component analysis which computes three eigenvalues and eigenvec
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Li, Zheng-Kuan, and 李政寬. "Applying Regression Coefficients Clustering in Multivariate Time Series Transforming for 3D Convolutional Neural Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/cpv42m.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>107<br>Multivariate time series data is very common in real life. Since most problems not only consider a single variable, but also multiple variables affect the label, how to effectively solve the problem of multivariate time series classification remain a major problem in research. In recent years, with the rapid development of Artificial Intelligence (AI), the deep learning framework has been tried to deal with multivariate time series classification problems. This study proposes a method to solve the problem of MTS classification. The multivariate time series dat
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Yang, Huanyi. "Performance analysis of EM-MPM and K-means clustering in 3D ultrasound breast image segmentation." 2014. http://hdl.handle.net/1805/3875.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Mammographic density is an important risk factor for breast cancer, detecting and screening at an early stage could help save lives. To analyze breast density distribution, a good segmentation algorithm is needed. In this thesis, we compared two popularly used segmentation algorithms, EM-MPM and K-means Clustering. We applied them on twenty cases of synthetic phantom ultrasound tomography (UST), and nine cases of clinical mammogram and UST images. From the synthetic phantom segmentation comparison we found that EM-MPM performs better
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Liu, Hsiang-Ping, and 劉享屏. "Interpolation by Spline with GCV and Nonparametric Segmentation by Cell Clustering for 3D Ultrasound Images." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/18526098884368016464.

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碩士<br>國立交通大學<br>統計所<br>90<br>This study is aimed to segment the tumor in 3D by a volume of 2D ultrasound images. This segmentation can provide the location information of tumor for doctors during operation and improve the accuracy of operation. Because the images obtained by 2D ultrasound scans are irregularly spaced most of the time, it is necessary to interpolate them into regularly spaced 3D images so that image processing techniques for 2D images can be generalized directly with fast computation speed. Spline interpolation is used in this study. Generalized cross validation i
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Pape, Jasmin. "Multicolor 3D MINFLUX nanoscopy for biological imaging." Doctoral thesis, 2020. http://hdl.handle.net/21.11130/00-1735-0000-0005-14E6-1.

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27

(9226151), Camilo G. Aguilar Herrera. "NOVEL MODEL-BASED AND DEEP LEARNING APPROACHES TO SEGMENTATION AND OBJECT DETECTION IN 3D MICROSCOPY IMAGES." Thesis, 2020.

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<div><div><div><p>Modeling microscopy images and extracting information from them are important problems in the fields of physics and material science. </p><p><br></p><p>Model-based methods, such as marked point processes (MPPs), and machine learning approaches, such as convolutional neural networks (CNNs), are powerful tools to perform these tasks. Nevertheless, MPPs present limitations when modeling objects with irregular boundaries. Similarly, machine learning techniques show drawbacks when differentiating clustered objects in volumetric datasets.</p><p> </p><p>In this thesis we explore the
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Campagnolo, João Henrique Fróis Lameiras. "Unsupervised behavioral classification with 3D pose data from tethered Drosophila melanogaster." Master's thesis, 2020. http://hdl.handle.net/10451/48345.

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Tese de mestrado integrado em Engenharia Biomédica e Biofísica (Biofísica Médica e Fisiologia de Sistemas), Universidade de Lisboa, Faculdade de Ciências, 2020<br>O comportamento animal e guiado por instruções geneticamente codificadas, com contribuições do meio envolvente e experiências antecedentes. O mesmo pode ser considerado como o derradeiro output da atividade neuronal, pelo que o estudo do comportamento animal constitui um meio de compreensão dos mecanismos subjacentes ao funcionamento do cérebro animal. Para desvendar a correspondência entre cérebro e comportamento são necessárias fer
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Gorricha, Jorge Manuel Lourenço. "Visualization of clusters in geo-referenced data using three-dimensional self-organizing maps." Master's thesis, 2010. http://hdl.handle.net/10362/2631.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação<br>The Self-Organizing Map (SOM) is an artificial neural network that performs simultaneously vector quantization and vector projection. Due to this characteristic, the SOM is an effective method for clustering analysis via visualization. The SOM can be visualized through the output space, generally a regular two-dimensional grid of nodes, and through the input space, emphasizing the vector quantization process. Among all the strategies for visualizing the SOM, we are particular
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Gorricha, Jorge Manuel Lourenço. "Exploratory data analysis using self-organising maps defined in up to three dimensions." Doctoral thesis, 2015. http://hdl.handle.net/10362/17852.

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The SOM is an artificial neural network based on an unsupervised learning process that performs a nonlinear mapping of high dimensional input data onto an ordered and structured array of nodes, designated as the SOM output space. Being simultaneously a quantization algorithm and a projection algorithm, the SOM is able to summarize and map the data, allowing its visualization. Because using the most common visualization methods it is very difficult or even impossible to visualize the SOM defined with more than two dimensions, the SOM output space is generally a regular two dimensional grid of n
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