Relevant bibliographies by topics / Example

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Example'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Example"

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Surname, Bob, Henry Blarg, and Fuzzybub Feeneyey. "Test surname length." Journal of Test Deposits 1, no. 1 (2000): 1. http://dx.doi.org/10.50505/example.

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van Gog, Tamara, Liesbeth Kester, and Fred Paas. "Effects of worked examples, example-problem, and problem-example pairs on novices’ learning." Contemporary Educational Psychology 36, no. 3 (July 2011): 212–18. http://dx.doi.org/10.1016/j.cedpsych.2010.10.004.

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McGinn, Kelly M., Karin E. Lange, and Julie L. Booth. "A Worked Example for Creating Worked Examples." Mathematics Teaching in the Middle School 21, no. 1 (August 2015): 26–33. http://dx.doi.org/10.5951/mathteacmiddscho.21.1.0026.

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Repenning, Alexander, and Corrina Perrone. "Programming by example: programming by analogous examples." Communications of the ACM 43, no. 3 (March 2000): 90–97. http://dx.doi.org/10.1145/330534.330546.

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Cain, James. "A Frankfurt Example to End All Frankfurt Examples." Philosophia 42, no. 1 (July 23, 2013): 83–93. http://dx.doi.org/10.1007/s11406-013-9471-0.

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Hayes, Terrance. "Example." Callaloo 25, no. 2 (2002): 440. http://dx.doi.org/10.1353/cal.2002.0079.

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Corless, Robert M., and Leili Rafiee Sevyeri. "The Runge Example for Interpolation and Wilkinson's Examples for Rootfinding." SIAM Review 62, no. 1 (January 2020): 231–43. http://dx.doi.org/10.1137/18m1181985.

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Engel, A. "Learning from Examples in Artificial Neural Networks: A Simple Example." Zeitschrift für Physikalische Chemie 204, Part_1_2 (January 1998): 19–26. http://dx.doi.org/10.1524/zpch.1998.204.part_1_2.019.

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Partono, Partono, Hamengkubuwono Hamengkubuwono, and Jeny Fransiska. "Model Example Non Example Dalam Pembelajaran Tajwid." Belajea; Jurnal Pendidikan Islam 5, no. 1 (May 22, 2020): 23. http://dx.doi.org/10.29240/belajea.v5i1.1336.

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The problem that often occurs to teachers when teaching is that many students are less eager to learn. Therefore, it is necessary to have a new innovation from a teacher to overcome this, namely by using the example non-example model, which is a learning model that uses an image display to be analyzed, where the learning model is aimed at student activeness that allows the teacher to stimulate student enthusiasm by making their vital organs move and focus on tajwid learning in the TPQ Hikmatun Najah Blora so that students can be more active because they themselves will play a role in analyzing the image of verse fragments. This study is included in the category of descriptive qualitative research with the data obtained sourced from primary data sources, namely research main data obtained directly from research data sources namely respondents by interview, observation and documentation. The results of this study indicate that the use of the example non-example model in Tajweed learning at TPQ Hikmatun Najah Blora adds more effectiveness because it can affect student learning outcomes because students become active because it raises the student's thinking and critical thinking so that it raises a high curiosity towards the material delivered.
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Goozner, M. "Radiation Example and Cancer: The Japanese Example." JNCI Journal of the National Cancer Institute 103, no. 23 (November 18, 2011): 1736. http://dx.doi.org/10.1093/jnci/djr502.

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Dissertations / Theses on the topic "Example"

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Malmström, David, and Stefan Kaalen. "An Investigation of an Example-Based Method for Crowd Simulations." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208896.

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The problem of simulating a crowd to see how it would behave in certain situations or just to create a realistic-looking scene to be used in a movie or video game is important and complex, and there are many different methods to solve it. This project is primarily an investigation of the example-based crowd simulation method described in the article "Crowds by Example" by Lerner et al. In the article, traced video footage of crowds are used to create a data set. The simulation program continuously finds situations in the data set that resembles the current situations in the simulation and updates the simulation thereby. We implemented this for around 10 agents using Unity 3D. Example-based crowd simulations does not only, like some other types of crowd simulation methods (for example ORCA), take collision avoidance into account but also the more complex ways the human mind thinks and therefore does not always behave as one would predict. The main conclusion is that this method of simulating crowds has the potential to create more realistic simulations than other forms of crowd simulations. The downsides are that the time the program spends creating simulations can quickly get very high and to make realistic simulations a lot of video footage must be filmed and then traced.
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MURAO, Hiroya, Nobuo KAWAGUCHI, Shigeki MATSUBARA, and Yasuyoshi INAGAKI. "Example-Based Query Generation for Spontaneous Speech." IEICE, 2005. http://hdl.handle.net/2237/12193.

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Mendel, Lucy (Lucy R. ). "Modeling By Example." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/45974.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 105-109).
Software developers use modeling to explore design alternatives before investing in the higher costs of building the full system. Unlike constructing specific examples, constructing general models is challenging and error-prone. Modeling By Example (MBE) is a new tool designed to help programmers construct general models faster and without errors. Given an object model and an acceptable, or included, example, MBE generates near-hit and near-miss examples for the user to mark as included or not by their mental goal model. The marked examples form a training data-set from which MBE constructs the user's general model. By generating examples dynamically to direct its own learning, MBE learns the concrete goal model with a significantly smaller training data set size than conventional instance-based learning techniques. Empirical experiments show that MBE is a practical solution for constructing simple structural models, but even with a number of optimizations to improve performance does not scale to learning complex models.
by Lucy Mendel.
M.Eng.
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Mock, Joshua P. Ruminski Michael D. Wallace L. Scott. "Combat Support Forces (1C6C) Naval Surface Forces requirements-based budget determination for Assault Craft Unit One." Monterey, Calif. : Naval Postgraduate School, 2009. http://handle.dtic.mil/100.2/ADA501375.

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"Submitted in partial fulfillment of the requirements for the degree of Master of Business Administration from the Naval Postgraduate School, June 2009."
Advisor(s): Euske, Kenneth ; Mutty, John. "June 2009." "MBA professional report"--Cover. Description based on title screen as viewed on July 14, 2009. DTIC Identifiers: LCU (Landing Craft Units). Author(s) subject terms: Budget, Model, Requirements-based, LCU, ACU-1, 1C6C, NBG-1, OPTAR, Operational Availability Includes bibliographical references (p. 73-76). Also available in print.
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Chang, Ming. "Example-Based Fluid Simulation." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20310.

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We present a novel method for example-based simulation of fluid flow. We reconstruct fluid animation from physically based fluid simulation examples. Our framework shows how to decompose a given series of fluid motion example data into small units and then recompose them. We capture the properties of local fluid behavior by dicing the fluid motion example data into sequences of fragments, which have smaller volume and shorter length. We build a database out of these fragments, and propose a matching strategy to generate new fluid animation. To achieve highly efficient database query, we project our fragments onto lower dimensional subspace using Principal Component Analysis (PCA) approach, and construct our data structure as a kd-tree by treating each fragment as a point in this subspace. Our method has been implemented in synthesizing both two-dimensional (2D) and three-dimensional (3D) fluid’s velocity fields.
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Hristova, Hristina. "Example-guided image editing." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S119/document.

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Les contributions de cette thèse sont divisées en trois parties principales. Dans la partie 1, nous proposons une méthode locale utilisant une distribution GGM pour approcher les distributions des images en les subdivisant en groupe de pixels que nous appelons dorénavant clusters. L'idée principale consiste à déterminer quelle caractéristique (couleur, luminance) est plus représentative pour une image donnée. Puis nous utilisons cette caractéristique pour subdiviser l'image en clusters. Quatre stratégies de mise en correspondance des clusters de l'image d'entrée avec ceux de l'image cible sont proposées. Ces stratégies ont pour but de produire des images photoréalistes dont le style ressemble à celui de l'image cible (dans notre cas le style d'une image est défini en termes de couleur et luminosité). Nous étendons le principe de transfert de couleur au transfert simultané de couleur et de gradient. Afin de pouvoir décrire las distributions de couleur et de gradient par une seule distribution, nous adoptons le modèle MGGD (multivariate generalized Gaussian distributions). Nous proposons une nouvelle transformation de distribution MGGD pour des applications de traitement d'image telles que le transfert multi-dimensionnel de caractéristiques d'image, de couleur, etc. De plus, nous adoptons aussi un modèle de distribution plus précis (distribution Beta bornée) pour représenter des distributions de couleur et de luminosité. Nous proposons une transformation de distribution Beta qui permet d'effectuer un transfert de couleur entre images et qui s'avère plus performante que celles basées sur les distributions Gaussiennes. Dans la partie 2, nous introduisons une nouvelle méthode permettant de créer des images HDR à partir d'une paire d'images, l'une prise avec flash et l'autre pas. Notre méthode consiste en l'utilisation d'une fonction de luminosité (brightness) simulant la fonction de réponse d'une caméra, et d'une nouvelle fonction d'adaptation de couleur (CAT), appelée CAT bi-locale (bi-local CAT), permettant de reproduire les détails de l'image flash. Cette approche évite toutes les limitations inhérentes aux méthodes classiques de création d'images HDR. Dans la partie 3, nous exploitons le potentiel de notre adaptation bi-locale CAT pour diverses applications d'édition d'image telles que la suppression de bruit (dé-bruitage), suppression de flou, transfert de texture, etc. Nous introduisons notre nouveau filtre guidé dans lequel nous incorporons l'adaptation bi-locale CAT dans la partie 3
This thesis addresses three main topics from the domain of image processing, i.e. color transfer, high-dynamic-range (HDR) imaging and guidance-based image filtering. The first part of this thesis is dedicated to color transfer between input and target images. We adopt cluster-based techniques and apply Gaussian mixture models to carry out a more precise color transfer. In addition, we propose four new mapping policies to robustly portray the target style in terms of two key features: color, and light. Furthermore, we exploit the properties of the multivariate generalized Gaussian distributions (MGGD). in order to transfer an ensemble of features between images simultaneously. The multi-feature transfer is carried out using our novel transformation of the MGGD. Despite the efficiency of the proposed MGGD transformation for multi-feature transfer, our experiments have shown that the bounded Beta distribution provides a much more precise model for the color and light distributions of images. To exploit this property of the Beta distribution, we propose a new color transfer method, where we model the color and light distributions by the Beta distribution and introduce a novel transformation of the Beta distribution. The second part of this thesis focuses on HDR imaging. We introduce a method for automatic creation of HDR images from only two images - flash and non-flash images. We mimic the camera response function by a brightness function and we recover details from the flash image using our new chromatic adaptation transform (CAT), called bi-local CAT. That way, we efficiently recover the dynamic range of the real-world scenes without compromising the quality of the HDR image (as our method is robust to misalignment). In the context of the HDR image creation, the bi-local CAT recovers details from the flash image, removes flash shadows and reflections. In the last part of this thesis, we exploit the potential of the bi-local CAT for various image editing applications such as image de-noising, image de-blurring, texture transfer, etc. We propose a novel guidance-based filter in which we embed the bi-local CAT. The proposed filter performs as good as (and for certain applications even better than) state-of-the art methods
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Li, Shanbo. "Web Call Example Application." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168420.

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Web Call Example Application from Ericsson Developer Connection is an application that hosted at a web server and supplies functionality of VoIP phone calls. Users can access the service from desktop browser, mobile phone browser or Java ME Client. Users can also manage their contact books. Each user can have more than one VoIP service accounts, so they can choose the cheapest on when they make phone call. The Web Call Example Application supports two kinds of VoIP phone call connection: Relay Call and Third Party Call. For the Third Party Call there are four different implementations: Call Transfer, SDP Swap, Re-invite and Web Client. This master thesis introduces the theory of third party call and the implementation of Web Call Example Application.
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Pickup, David Lemor. "Example-based water animation." Thesis, University of Bath, 2013. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607612.

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We present the argument that video footage of real scenes can be used as input examples from which novel three-dimensional scenes can be created. We argue that the parameters used by traditional animation techniques based on the underlying physical properties of the water, do not intuitively relate to the resulting visual appearance. We will present a novel approach which allows a range of video examples to be used as a set of visual parameters to design the visible behaviour of a water animation directly. Our work begins with a method for reconstructing the perceived water surface geometry from video footage of natural scenes, captured with only a single static camera. We show that this has not been accomplished before, because previous approaches use sophisticated capturing systems which are limited to a laboratory environment. We will also present an approach for reconstructing the water surface velocities which are consistent with the reconstructed geometry. We then present a method of using these water surface reconstructions as building blocks which can be seamlessly combined to create novel water surface animations. We are also able to extract foam textures from the videos, which can be applied to the water surfaces to enhance their visual appearance. The surfaces we produce can be shaped and curved to fit within a user's three-dimensional scene, and the movement of external objects can be driven by the velocity fields. We present a range of results which show that our method can plausibly emulate a wide range of real-world scenes, different from those from which the water characteristics were captured. As the animations we create are fully three-dimensional, they can be rendered from any viewpoint, in any rendering style.
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Librande, Stephen E. (Stephen Edward). "Example-based character drawing." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12925.

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Kim, Jiwon M. Eng Massachusetts Institute of Technology. "Example-based grasp adaptation." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/45978.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 60-63).
Finding a way to provide intelligent humanoid robots with the ability to grasp objects has been a question of great interest. Most approaches, however, assume that objects are composed of primitive shapes such as box, sphere, and cylinder. In the thesis, we explore an efficient and robust method to decide grasps given new objects that are irregularly-shaped (3D polygon meshes). To solve the problem, we use an example-based approach. We first find grasps for objects geometrically similar to those the system has seen before. For example, if the system has been shown a cup being grasped by the handle, it should now be able to grasp any new cup. There are two problems to be solved in order to adapt example grasps to the new object. First, the system should be able to retrieve objects that are geometrically similar to the given object from the database storing previously seen objects. After collecting objects the system knows how to grasp, it needs to adapt example grasps to new object.Already, there are some working algorithms for the first problem (shape retrieval). Therefore, our main contribution is to present an algorithm that performs grasp adaptation. Before we adapt a grasp, we first find the geometric correspondence between a demo object and new object using probabilistic graphical model. Based on correlation information together with the demo grasp, we generate a grasp for the new object. To ensure that a robot can effectively grasp the object, we adjust the position of grasp contacts until the quality of the grasp is reasonably high. In test cases, the system successfully uses this method to find the correspondence between objects and adapt demo grasps.
by Jiwon Kim.
M.Eng.
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Books on the topic "Example"

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Tom, Rodden, ed. Jini: Example by example. Upper Saddle River, N.J: Prentice Hall PTR, 2001.

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Suzuki, Mihoko. Antigone's Example. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84455-4.

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Teter, D. Park. Denmark's Example. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 1986. http://dx.doi.org/10.4135/cqresrre1986070400.

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Dawson, Joy. Jesus the model. Lake Mary, Fla: Charisma House, 2007.

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Services, Kingston Polytechnic Computing. UNIRAS subroutine library example book: FGL/AGL subroutine examples. Kingston on Thames: Kingston Polytechnic, 1991.

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Barcena, E. Grammatical representation of examples in interlingual example-based MT. Manchester: UMIST, 1994.

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Gaman, W. A. PHIGS by Example. New York, NY: Springer New York, 1991.

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Richardson, Bill. Leading by Example. New York: John Wiley & Sons, Ltd., 2008.

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Abell, Martha L. Mathematica by example. 3rd ed. Amsterdam: Elsevier Academic Press, 2004.

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Albert, Jim, and Maria Rizzo. R by Example. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1365-3.

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Book chapters on the topic "Example"

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Kochs, Hans-Dieter. "Example 1: Reference Example." In Studies in Systems, Decision and Control, 1–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38327-5_1.

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Serakos, Demetrios. "Example." In SpringerBriefs in Optimization, 47–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16652-0_8.

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Langford, John, Xinhua Zhang, Gavin Brown, Indrajit Bhattacharya, Lise Getoor, Thomas Zeugmann, Thomas Zeugmann, et al. "Example." In Encyclopedia of Machine Learning, 382. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_287.

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Bánhelyi, Balázs, Tibor Csendes, Balázs Lévai, László Pál, and Dániel Zombori. "Example." In SpringerBriefs in Optimization, 69–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02375-1_5.

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Ramnath, Rudrapatna V. "Example." In SpringerBriefs in Applied Sciences and Technology, 63–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25749-0_6.

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Copeland, Norman. "Example." In Psychology and The Soldier, 35–38. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003214328-6.

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Lazard, Alexander. "Example." In An Introduction to Inclusive Healthcare Design, 129–32. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003414902-13.

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McClung, Kiwana T. "Example." In An Introduction to Inclusive Healthcare Design, 176–77. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003414902-18.

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Suzuki, Mihoko. "Christine de Pizan’s Political Thought and Civil War." In Antigone's Example, 47–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84455-4_2.

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Suzuki, Mihoko. "Women Write the Fronde: Motteville, Montpensier, Longueville, Nemours." In Antigone's Example, 163–240. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84455-4_4.

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Conference papers on the topic "Example"

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Katz, Tomer, and Hila Peleg. "Programming-by-Example with Nested Examples." In 2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 2023. http://dx.doi.org/10.1109/vl-hcc57772.2023.00053.

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Bak, Kacper, Dina Zayan, Krzysztof Czarnecki, Michal Antkiewicz, Zinovy Diskin, Andrzej Wasowski, and Derek Rayside. "Example-Driven Modeling: Model = Abstractions + Examples." In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 2013. http://dx.doi.org/10.1109/icse.2013.6606696.

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Barzilay, Ohad. "Example embedding." In the 10th SIGPLAN symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2089131.2089135.

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"Reviews example." In 2013 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2013. http://dx.doi.org/10.1109/codit.2013.6689507.

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Krebs, Eva, Patrick Rein, and Robert Hirschfeld. "Example Mining." In '22 Companion: 6th International Conference on the Art, Science, and Engineering of Programming. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3532512.3535226.

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Yew, Jun Xuan, Ningyi Liao, Dingheng Mo, and Siqiang Luo. "Example Searcher: A Spatial Query System via Example." In 2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 2023. http://dx.doi.org/10.1109/icde55515.2023.00286.

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Wenzel, Hans, Soon Jun, Krzysztof Genser, and Alexei Strelchenko. "Integration of Opticks1 and Geant4 (an advanced example: CaTS)." In Integration of Opticks1 and Geant4 (an advanced example: CaTS). US DOE, 2023. http://dx.doi.org/10.2172/1958458.

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Yarba, Julia. "Example of Using Pythia8 to Decay Resonances in Geant4." In Example of Using Pythia8 to Decay Resonances in Geant4. US DOE, 2021. http://dx.doi.org/10.2172/1827866.

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Wenzel, Hans, Krzysztof Genser, Soon Jun, and Alexei Strelchenko. "Integration of Opticks1 and Geant4 (an advanced example: CaTS)." In Integration of Opticks1 and Geant4 (an advanced example: CaTS). US DOE, 2021. http://dx.doi.org/10.2172/1827850.

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Takeuchi, Shota, Hiromichi Kawanami, Hiroshi Saruwatari, and Kiyohiro Shikano. "Unknown example detection for example-based spoken dialog system." In 2009 Oriental COCOSDA International Conference on Speech Database and Assessments. IEEE, 2009. http://dx.doi.org/10.1109/icsda.2009.5278363.

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Reports on the topic "Example"

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Hindmarsh, Alan C., and Radu Serban. Example Programs for idasv1.0.0. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/1124862.

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Courant, E. D., and A. A. Garren. A realistic lattice example. Office of Scientific and Technical Information (OSTI), October 1985. http://dx.doi.org/10.2172/93783.

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Lovejoy, S. C., and R. G. Whirley. DYNA3D example problem manual. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6214450.

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Snelick, Robert. S-Check, by example. Gaithersburg, MD: National Institute of Standards and Technology, 1997. http://dx.doi.org/10.6028/nist.ir.6022.

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Hill, Steven. Target Folder Hospital Example. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1762926.

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Antonova, Gergana, Niya Prisadashka, Radoslav Dimitrov, Ioan Yonkov, Daniel Radev, Hristo Pavlov, Mario Mladenov, and Ilian Grigorov. Cybercrime Strategy (modeling example). Procon, 2023. http://dx.doi.org/10.11610/it4sec.0149.

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Ruggiero, Christy E., Brian Keith Gaschen, and Jeffrey Joseph Bloch. WalkThrough Example Procedures for MAMA. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1291189.

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Cho, J., and J. Bennett. Example of an Amended Report. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1642497.

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9

Euser, Bryan, Rougier Esteban, Angel Padilla, Lei Zhou, and Earl Knight. HOSS-FSIS example: Energetic Event. Office of Scientific and Technical Information (OSTI), July 2024. http://dx.doi.org/10.2172/2396295.

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Plews, Julia A., Nathan K. Crane, Gabriel Jose de Frias, San Le, David John Littlewood, Mark Thomas Merewether, Matthew David Mosby, et al. Sierra/SolidMechanics 4.44 Example Problems Manual. Office of Scientific and Technical Information (OSTI), April 2017. http://dx.doi.org/10.2172/1494187.

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