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Dissertations / Theses on the topic 'Feature-based'

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1

Zheng, Ling. "Feature grouping-based feature selection." Thesis, Aberystwyth University, 2017. http://hdl.handle.net/2160/41e7b226-d8e1-481f-9c48-4983f64b0a92.

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Feature selection (FS) is a process which aims to select input domain features that are most informative for a given outcome. Unlike other dimensionality reduction techniques, feature selection methods preserve the underlying semantics or meaning of the original data following reduction. Typically, FS can be divided into four categories: filter, wrapper, hybrid-based and embedded approaches. Many strategies have been proposed for this task in an effort to identify more compact and better quality feature subsets. As various advanced techniques have emerged in the development of search mechanism
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2

Chiba, Naoki. "Feature-Based Image Mosaicing." 京都大学 (Kyoto University), 2001. http://hdl.handle.net/2433/150613.

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3

Archambault, Daniel William. "Feature-based graph visualization." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2839.

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A graph consists of a set and a binary relation on that set. Each element of the set is a node of the graph, while each element of the binary relation is an edge of the graph that encodes a relationship between two nodes. Graph are pervasive in many areas of science, engineering, and the social sciences: servers on the Internet are connected, proteins interact in large biological systems, social networks encode the relationships between people, and functions call each other in a program. In these domains, the graphs can become very large, consisting of hundreds of thousands of nodes and millio
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4

Corney, Jonathan Roy. "Graph-based feature recognition." Thesis, Heriot-Watt University, 1993. http://hdl.handle.net/10399/1459.

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5

Smith, Stephen Mark. "Feature based image sequence understanding." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316951.

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6

Adams, Daniel B. "Feature-based Interactive Terrain Sketching." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2288.

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Procedural generation techniques are able to quickly and cheaply produce large areas of terrain. However, these techniques produce results that are not easily directable and often require artists to edit the results by hand to achieve the desired layout. This paper proposes a sketch-based system for controlling fractal terrain that allows for a wide variety of terrain feature types. Artists sketch features rather than constrained points or elevations. The system is interactive, provides quick on-demand previews of the terrain, and allows for iterative design modifications. Interaction between
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7

Nabdel, Leili. "An Xml-based Feature Modeling Language." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613827/index.pdf.

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Feature modeling is a common way of representing commonality and variability in Software Product Lines. There are alternative notations reported in the literature to represent feature models. Compared to the graphical notations, the text-based notations are more amenable to automated processing and tool interoperability. This study presents an XML-based feature modeling language to represent extended feature models that can include complex relationships involving attributes. We first provide a Context Free Grammar for the extended feature model definitions including such complex relationships.
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8

Naing, Soe. "Feature based design for jigless assembly." Thesis, Cranfield University, 2004. http://dspace.lib.cranfield.ac.uk/handle/1826/106.

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The work presented in this thesis was undertaken as part of the three-year ‘Jigless Aerospace Manufacture’ (JAM) project which was set-up to investigate and address the significant scientific, technological and economic issues to enable a new design, manufacture and assembly philosophy based on minimising product specific jigs, fixtures and tooling. The main goal of the JAM project at Cranfield was the development of appropriate jigless methods and principles, and the subsequent redesign of the JAM project demonstrator structure – a section of the Airbus A320 aircraft Fixed Leading Edge – to f
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9

Sze, Wui-fung. "Robust feature-point based image matching." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37153262.

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10

Sze, Wui-fung, and 施會豐. "Robust feature-point based image matching." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37153262.

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11

Wan, Harun Wan Abdul Rahman Jauhari Bin. "Feature-based representation for assembly modelling." Thesis, Loughborough University, 1996. https://dspace.lboro.ac.uk/2134/7325.

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The need for a product model which can support the modelling requirements of a broad range of applications leads to the application of a feature-based model. An important requirement in feature-based design and manufacture is that a single feature representation should be capable of supporting a number of different applications. The capability of representing products composed of assemblies is seen to be necessary to serve the information needs of those applications. To achieve this aim it is an essential prerequisite to develop a formal structure for the representation of assembly information
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12

Senin, Nicola. "Feature-based characterisation of surface topography." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/54266/.

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In recent years surface metrology has undergone a revolution: non-contact technologies have driven the transition from profile to areal measurement, and topography in- formation can now be obtained in the form of three-dimensional geometric models. However, the conceptual approach underlying topography characterisation has not changed as much, and surfaces are still predominantly quantified in terms of "rough- ness". This thesis explores feature-based characterisation, an approach that merges technologies from computer vision, image processing, geometric modelling, and statistical modelling, t
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13

Asghar, Muhammad Nabeel. "Feature based dynamic intra-video indexing." Thesis, University of Bedfordshire, 2014. http://hdl.handle.net/10547/338913.

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With the advent of digital imagery and its wide spread application in all vistas of life, it has become an important component in the world of communication. Video content ranging from broadcast news, sports, personal videos, surveillance, movies and entertainment and similar domains is increasing exponentially in quantity and it is becoming a challenge to retrieve content of interest from the corpora. This has led to an increased interest amongst the researchers to investigate concepts of video structure analysis, feature extraction, content annotation, tagging, video indexing, querying and r
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14

Aparajeya, Prashant. "Medialness-based shape invariant feature transformation." Thesis, Goldsmiths College (University of London), 2016. http://research.gold.ac.uk/19340/.

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This research is about the perception-based medial point description of a natural form (2D static or in movement) as a generic framework for a part-based shape representation, which can then be efficiently used in biological species identification, as well as more general pattern matching and shape movement tasks. We consider recent studies and results in cognitive science that point in similar directions in emphasizing the likely importance of medialness as a core feature used by humans in perceiving shapes in static or dynamic situations. This leads us to define an algorithmic chain composed
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15

Malady, Amy Colleen. "Cyclostationarity Feature-Based Detection and Classification." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32280.

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Cyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. Cyclostationarity FB classification and detection algorithms have been applied to a breadth of wireless communication signals â analog and digital alike. This thesis reports on an investigation of existing methods of extracting cyclostationarity features and then presents a novel robust solution that reduces SNR requirements, removes the pre-processing task of estimating occupied signal bandwidth, and can achieve classification rates
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16

Pretorius, Eugene. "An adaptive feature-based tracking system." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/1441.

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17

Rampally, Deepthi. "Iris recognition based on feature extraction." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/3647.

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18

Alaei, Fahimeh. "Texture Feature-based Document Image Retrieval." Thesis, Griffith University, 2019. http://hdl.handle.net/10072/385939.

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Storing and manipulating documents in digital form to contribute to a paperless society has been the propensity of emerging technology. There has been notable growth in the variety and quantity of digitised documents, which have often been scanned/photographed and archived as images without any labelling or sufficient index information. The growth of these kinds of document images will undoubtedly continue with new technology. To provide an effective way for retrieving and organizing these document images, many techniques have been implemented in the literature. However, designing automation s
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19

Patil, Dilip Madhusudan. "Feature based computer aided process planning." Thesis, University of Warwick, 1995. http://wrap.warwick.ac.uk/110865/.

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This research attempts to study, plan and develop an integrated feature based CAPP system that generates automated process plans for machining prismatic components. The CAPP system comprises a STEP compliant feature based commercial CAD system and the Smalltalk object oriented system. A library of features has been developed that is based on STEP based form feature taxonomy but modified to communicate the manufacturing intent and feature aggregation. The CAPP system has been developed to represent the product, process and resource domain knowledge with a number of object hierarchies, communica
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20

Bonev, Boyan. "Feature selection based on information theory." Doctoral thesis, Universidad de Alicante, 2010. http://hdl.handle.net/10045/18362.

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Along with the improvement of data acquisition techniques and the increasing computational capacity of computers, the dimensionality of the data grows higher. Pattern recognition methods have to deal with samples consisting of thousands of features and the reduction of their dimensionality becomes crucial to make them tractable. Feature selection is a technique for removing the irrelevant and noisy features and selecting a subset of features which describe better the samples and produce a better classification performance. It is becoming an essential part of most pattern recognition applicatio
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21

Abdul-Razak, Ariffin. "Detection of feature interactions in an object-oriented feature-based design system." Thesis, Heriot-Watt University, 1997. http://hdl.handle.net/10399/651.

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22

Patwardhan, Kaustubh Anil. "A feature-based algorithm for spike sorting involving intelligent feature-weighting mechanism." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/1253.

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Spike sorting of neural data from multiple electrodes is a difficult problem that depends heavily on inputs from human experts. It is an important processing step in the study of various brain functions and to detect various neural disorders based on the activity of neurons. Here, we propose a novel, unsupervised, feature-based spike sorting method based on the K-means clustering algorithm to distinguish these spikes. It involves weighing the various features of the neural data based on their information content as well as the eigenvalues of their projections on the lower-dimensional space and
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23

Fidan, Tahir. "Feature Based Design Of Rotational Parts Based On Step." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605632/index.pdf.

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The implicit and low-level part definition data, provided by geometric modeling cannot be used by downstream applications. Therefore, feature based modeling concept has been introduced to integrate CAD and downstream applications. However, due to the lack of implicit and explicit standard representations for features and unmanageable number of possible predefined features without standardization, feature based modeling approach has proved to be inadequate. STEP AP224 provides a standard for both implicit and explicit representations for manufacturing features. This thesis presents STEP AP224 f
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24

Cardone, Antonio. "A feature-based shape similarity assessment framework." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2834.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005<br>Thesis research directed by: Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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25

Cevik, Gozde. "Feature Based Modulation Recognition For Intrapulse Modulations." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607676/index.pdf.

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In this thesis study, a new method for automatic recognition of intrapulse modulations has been proposed. This new method deals the problem of modulation recognition with a feature-based approach. The features used to recognize the modulation type are Instantaneous Frequency, Instantaneous Bandwidth, Amplitude Modulation Depth, Box Dimension and Information Dimension. Instantaneous Bandwidth and Instantaneous Frequency features are extracted via Autoregressive Spectrum Modeling. Amplitude Modulation Depth is used to express the depth of amplitude change on the signal. The other features, Box
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26

Atar, Neriman. "Video Segmentation Based On Audio Feature Extraction." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610397/index.pdf.

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In this study, an automatic video segmentation and classification system based on audio features has been presented. Video sequences are classified such as videos with &ldquo<br>speech&rdquo<br>, &ldquo<br>music&rdquo<br>, &ldquo<br>crowd&rdquo<br>and &ldquo<br>silence&rdquo<br>. The segments that do not belong to these regions are left as &ldquo<br>unclassified&rdquo<br>. For the silence segment detection, a simple threshold comparison method has been done on the short time energy feature of the embedded audio sequence. For the &ldquo<br>speech&rdquo<br>, &ldquo<br>music&rdquo<br>and &ldquo<b
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27

Rodríguez, Cano Guillermo. "Configuration of Hyper-Graph based Feature Diagrams." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-135477.

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Software product line engineering has gained an exceptional attention and interest from scientific community in recent years as a consequence of reuse in mass software production. However, management of the common and variable characteristics and functionalities among a collection of software systems, which belong to the same application domain, is still a work in progress because it is neither a trivial activity nor can it be resolved applying conventional software engineering methodologies. One of the suggested solutions, and generally accepted, for elicitation, representation and management
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28

Lin, Pengpeng. "A Framework for Consistency Based Feature Selection." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/62.

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Feature selection is an effective technique in reducing the dimensionality of features in many applications where datasets involve hundreds or thousands of features. The objective of feature selection is to find an optimal subset of relevant features such that the feature size is reduced and understandability of a learning process is improved without significantly decreasing the overall accuracy and applicability. This thesis focuses on the consistency measure where a feature subset is consistent if there exists a set of instances of length more than two with the same feature values and the sa
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29

Vanhoy, Garrett, and Noel Teku. "FEATURE SELECTION FOR CYCLOSTATIONARY-BASED SIGNAL CLASSIFICATION." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/626974.

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Cognitive radio (CR) is a concept that imagines a radio (wireless transceiver) that contains an embedded intelligent agent that can adapt to its spectral environment. Using a software defined radio (SDR), a radio can detect the presence of other users in the spectrum and adapt accordingly, but it is important in many applications to discern between individual transmitters and this can be done using signal classification. The use of cyclostationary features have been shown to be robust to many common channel conditions. One such cyclostationary feature, the spectral correlation density(SCD),hasse
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30

Cheng, Xin. "Feature-based motion estimation and motion segmentation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0016/MQ55493.pdf.

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31

Chia, Ser Chong. "Fixture planning in a feature based environment." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/13372.

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Fixtures are used to constrain workpieces during machining processes. Fixtures locate and hold the workpiece in position and ensure that it is in a state of equilibrium, and that dimensional accuracy is maintained throughout the manufacturing operation. Traditionally, design and manufacturing problems were solved by means of a sequence of design and planning stages followed by manufacturing. However, the recent emergence of Concurrent Engineering has prompted companies to solve the problems in parallel. The availability of data in a concurrent engineering environment places great emphasis on p
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Voles, P. "Feature-based object tracking in maritime scenes." Thesis, Bournemouth University, 2005. http://eprints.bournemouth.ac.uk/10557/.

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A monitoring of presence, location and activity of various objects on the sea is essential for maritime navigation and collision avoidance. Mariners normally rely on two complementary methods of the monitoring: radar and satellite-based aids and human observation. Though radar aids are relatively accurate at long distances, their capability of detecting small, unmanned or non-metallic craft that generally do not reflect radar waves sufficiently enough, is limited. The mariners, therefore, rely in such cases on visual observations. The visual observation is often facilitated by using cameras ov
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33

Akula, Ravi Kiran. "Botnet Detection Using Graph Based Feature Clustering." Thesis, Mississippi State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10751733.

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<p> Detecting botnets in a network is crucial because bot-activities impact numerous areas such as security, finance, health care, and law enforcement. Most existing rule and flow-based detection methods may not be capable of detecting bot-activities in an efficient manner. Hence, designing a robust botnet-detection method is of high significance. In this study, we propose a botnet-detection methodology based on graph-based features. Self-Organizing Map is applied to establish the clusters of nodes in the network based on these features. Our method is capable of isolating bots in small cluster
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34

Jacobsohn, Jeremy Frederick. "Constraints and geometry in feature-based design." Case Western Reserve University School of Graduate Studies / OhioLINK, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=case1056042915.

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35

Cohen, Gregory Kevin. "Event-Based Feature Detection, Recognition and Classification." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066204/document.

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La detection, le suivi de cible et la reconnaissance de primitives visuelles constituent des problèmes fondamentaux de la vision robotique. Ces problématiques sont réputés difficiles et sources de défis. Malgré les progrès en puissance de calcul des machines, le gain en résolution et en fréquence des capteurs, l’état-de-l’art de la vision robotique peine à atteindre des performances en coût d’énergie et en robustesse qu’offre la vision biologique. L’apparition des nouveaux capteurs, appelés "rétines de silicium” tel que le DVS (Dynamic Vision Sensor) et l’ATIS (Asynchronous Time-based Imaging
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36

Li, Ye. "Manufacturability analysis for non-feature-based objects." [Ames, Iowa : Iowa State University], 2008.

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37

Loscalzo, Steven. "Group based techniques for stable feature selection." Diss., Online access via UMI:, 2009.

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38

Tsai, Chieh-Yuan. "A flexible feature-based design retrieval system /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9946307.

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39

Lee, Yi-Huan, and 李宜圜. "A Feature Selection method Based on Feature Similarity." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/77227575138193179947.

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碩士<br>國立中正大學<br>電機工程研究所<br>91<br>In this paper, an unsupervised feature selection algorithm is proposed. This algorithm is suitable especially for medium- and high-dimensional data sets. The unsupervised feature selection algorithms can be classified into two categories. One is aimed at maximizing clustering performance. Since these methods usually need a searching process, the execute speed is usually slow. Another is aimed at reducing the redundancy in the data sets. These methods do not need a searching process, so the execute speed is faster than previous method. However, these
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40

Lim, Shiau Hong. "Explanation-based feature construction /." 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3363019.

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Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.<br>Source: Dissertation Abstracts International, Volume: 70-06, Section: B, page: 3605. Adviser: Gerald DeJong. Includes bibliographical references (leaves 107-112) Available on microfilm from Pro Quest Information and Learning.
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Boda, Somaraju. "Feature-Based Image Registration." Thesis, 2009. http://ethesis.nitrkl.ac.in/1409/1/Thesis.pdf.

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Image registration is the fundamental task used to match two or more partially overlapping images taken, for example, at different times, from different sensors, or from different viewpoints and stitch these images into one panoramic image comprising the whole scene. It is a fundamental image processing technique and is very useful in integrating information from different sensors, finding changes in images taken at different times, inferring three-dimensional information from stereo images, and recognizing model-based objects. Some techniques are proposed to find a geometrical transformation
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Dong, Ben-Jian, and 董本健. "Progressive Image Feature Matching Based on Feature Spatial Order." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/18468546007142755501.

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碩士<br>元智大學<br>資訊工程學系<br>105<br>Image matching is a very important and fundamental issue in computer vision, machine learning and pattern recognition. It is being applied widely in a large number of applications such as image representation, image stitching, image classification and retrieval, object recognition, 3D reconstruction, object tracking, robot localization and biometrics system. Therefore, how to match image features correctly and efficiently in a great quantity of feature points is a valuable subject with deeply research. Over the years, many scholars proposed some kinds of methods
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43

DU, YING-MEI, and 杜瑩美. "Incorporated composite feature and variational geometryto feature-based design system." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/19558535653057627343.

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Subramani, S. "Feature Mapping, Associativity And Exchange For Feature-based Product Modelling." Thesis, 2005. https://etd.iisc.ac.in/handle/2005/1355.

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Subramani, S. "Feature Mapping, Associativity And Exchange For Feature-based Product Modelling." Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1355.

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Ho, Yu-Je, and 何育哲. "Geometric Feature-Based Pattern Matching." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/30482044730285937998.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>95<br>Pattern matching is a method for finding the instances of a pattern in matching image. It can analyze an object image relating to a model. In our method, we use a model to represent the pattern which includes many sample points. Each sample point is distributed evenly along the edges. When matching is over, we have a list of results with scores. Each score means the similarity between the pattern and the results. Then, we compare these match scores with an appropriate threshold to decide the results are true or not.
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Huang, Ying-Lung, and 黃盈倫. "Feature-based Digital Head Reconstruction." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/04393248711286709298.

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碩士<br>國立成功大學<br>機械工程學系碩博士班<br>92<br>The research invoking body scanner to reconstruct human digital model has carried on for a few decades. Digital head reconstruction is also one of its important research topics. Due to the features of human head is rather complex and changeable, the issue of how to preserve the original features of the digital head and how to simplify it for the purpose of generating coherence facial expression, become crucial issues. The main problem of the issue starts from the human body scanner, the extracted cloud data are huge and unstructured. If we manually pinpoint
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Hui-Ting, Li, and 李慧婷. "Feature-Based Optical Flow Computation." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/41969462028961296672.

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49

Kegel, Lars. "Feature-based Time Series Analytics." 2020. https://tud.qucosa.de/id/qucosa%3A70876.

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Time series analytics is a fundamental prerequisite for decision-making as well as automation and occurs in several applications such as energy load control, weather research, and consumer behavior analysis. It encompasses time series engineering, i.e., the representation of time series exhibiting important characteristics, and data mining, i.e., the application of the representation to a specific task. Due to the exhaustive data gathering, which results from the ``Industry 4.0'' vision and its shift towards automation and digitalization, time series analytics is undergoing a revolution. Big d
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Ho, Yu-Je. "Geometric Feature-Based Pattern Matching." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1107200715040800.

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