Relevant bibliographies by topics / K-character

Contents

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

Academic literature on the topic 'K-character'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "K-character"

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Wijaya, Aditya Surya, Nurul Chamidah, and Mayanda Mega Santoni. "Pengenalan Karakter Tulisan Tangan Dengan K-Support Vector Nearest Neighbor." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 9, no. 1 (April 30, 2019): 33. http://dx.doi.org/10.22146/ijeis.38729.

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Handwritten characters are difficult to be recognized by machine because people had various own writing style. This research recognizes handwritten character pattern of numbers and alphabet using K-Nearest Neighbour (KNN) algorithm. Handwritten recognition process is worked by preprocessing handwritten image, segmentation to obtain separate single characters, feature extraction, and classification. Features extraction is done by utilizing Zone method that will be used for classification by splitting this features data to training data and testing data. Training data from extracted features reduced by K-Support Vector Nearest Neighbor (K-SVNN) and for recognizing handwritten pattern from testing data, we used K-Nearest Neighbor (KNN). Testing result shows that reducing training data using K-SVNN able to improve handwritten character recognition accuracy.
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Kim, Ju-Lee, and Fiona Murnaghan. "Character expansions and unrefined minimal K -types." American Journal of Mathematics 125, no. 6 (2003): 1199–234. http://dx.doi.org/10.1353/ajm.2003.0043.

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Jarvis, Tyler J., Ralph Kaufmann, and Takashi Kimura. "Stringy K-theory and the Chern character." Inventiones mathematicae 168, no. 1 (December 8, 2006): 23–81. http://dx.doi.org/10.1007/s00222-006-0026-x.

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Liu, Wen Bo, and Tao Wang. "The Character Recognition of Vehicle's License Plate Based on BP Neural Networks." Applied Mechanics and Materials 513-517 (February 2014): 3805–8. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3805.

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This paper based on license plate image preprocessing ,license plate localization, and character segment ,using BP neural network algorithm to identify the license plate characters. Through k-l algorithm of characters on the feature extraction and recognition of license plate character respectively then taking the extraction of license plate character features into the character classifier to the training. When the end of training, extracting the net-work weights and offset matrix, and storing in the computer. To take the identified character images input to the MATLAB, and with the preservation weights and offset matrix operations, obtain the final results of recognition.
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Conner, P. E., and Noriko Yui. "The Additive Characters of the Witt Ring of an Algebraic Number Field." Canadian Journal of Mathematics 40, no. 3 (June 1, 1988): 546–88. http://dx.doi.org/10.4153/cjm-1988-024-x.

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For an algebraic number field K there is a similarity between the additive characters defined on the Witt ring W(K), [20], [11], [17], [14, p. 131], and the local root numbers associated to a real orthogonal representation of the absolute Galois group of K, [18], [5]. Using results of Deligne and of Serre, [16], we shall derive in (5.3) a formula expressing the value, at a prime in K, of the additive character on a Witt class in terms of the rank modulo 2, the stable Hasse-Witt invariant and the local root number associated to the real quadratic character defined by the square class of the discriminant. Thus we are able to separate out the contributions made to the value of the additive character by each of the standard Witt class invariants.
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BUI, H. M., and MICAH B. MILINOVICH. "CENTRAL VALUES OF DERIVATIVES OF DIRICHLET L-FUNCTIONS." International Journal of Number Theory 07, no. 02 (March 2011): 371–88. http://dx.doi.org/10.1142/s1793042111004125.

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Let [Formula: see text] be the set of even, primitive Dirichlet characters ( mod q). Using the mollifier method, we show that L(k)(½, χ) ≠ 0 for almost all the characters [Formula: see text] when k and q are large. Here L(s, χ) is the Dirichlet L-function associated to the character χ.
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Cunningham, Clifton, and David Roe. "FROM THE FUNCTION-SHEAF DICTIONARY TO QUASICHARACTERS OF -ADIC TORI." Journal of the Institute of Mathematics of Jussieu 17, no. 1 (October 13, 2015): 1–37. http://dx.doi.org/10.1017/s1474748015000286.

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We consider the rigid monoidal category of character sheaves on a smooth commutative group scheme $G$ over a finite field $k$, and expand the scope of the function-sheaf dictionary from connected commutative algebraic groups to this setting. We find the group of isomorphism classes of character sheaves on $G$, and show that it is an extension of the group of characters of $G(k)$ by a cohomology group determined by the component group scheme of $G$. We also classify all morphisms in the category character sheaves on $G$. As an application, we study character sheaves on Greenberg transforms of locally finite type Néron models of algebraic tori over local fields. This provides a geometrization of quasicharacters of $p$-adic tori.
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Biswas, Sazzad Ali. "Epsilon factors of symplectic type characters in the wild case." Forum Mathematicum 33, no. 2 (February 20, 2021): 569–77. http://dx.doi.org/10.1515/forum-2020-0281.

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Abstract By work of John Tate we can associate an epsilon factor with every multiplicative character of a local field. In this paper, we determine the explicit signs of the epsilon factors for symplectic type characters of K × {K^{\times}} , where K / F {K/F} is a wildly ramified quadratic extension of a non-Archimedean local field F of characteristic zero.
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Bonanzinga, Maddalena, and Maria Vittoria Cuzzupè. "On topological groups with remainder of character k." Applied General Topology 17, no. 1 (April 11, 2016): 51. http://dx.doi.org/10.4995/agt.2016.4376.

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<p style="margin: 0px;">In [A.V. Arhangel'skii and J. van Mill, On topological groups with a first-countable remainder, Top. Proc. <span id="OBJ_PREFIX_DWT1099_com_zimbra_phone" class="Object">42 (2013), 157-163</span>] it is proved that the character of a non-locally compact topological group with a first countable remainder doesn't exceed $\omega_1$ and a non-locally compact topological group of character $\omega_1$ having a compactification whose reminder is first countable is given. We generalize these results in the general case of an arbitrary infinite cardinal k.</p><p style="margin: 0px;"> </p>
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Ong, Veronica, and Derwin Suhartono. "Using K-Nearest Neighbor in Optical Character Recognition." ComTech: Computer, Mathematics and Engineering Applications 7, no. 1 (March 1, 2016): 53. http://dx.doi.org/10.21512/comtech.v7i1.2223.

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The growth in computer vision technology has aided society with various kinds of tasks. One of these tasks is the ability of recognizing text contained in an image, or usually referred to as Optical Character Recognition (OCR). There are many kinds of algorithms that can be implemented into an OCR. The K-Nearest Neighbor is one such algorithm. This research aims to find out the process behind the OCR mechanism by using K-Nearest Neighbor algorithm; one of the most influential machine learning algorithms. It also aims to find out how precise the algorithm is in an OCR program. To do that, a simple OCR program to classify alphabets of capital letters is made to produce and compare real results. The result of this research yielded a maximum of 76.9% accuracy with 200 training samples per alphabet. A set of reasons are also given as to why the program is able to reach said level of accuracy.
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Dissertations / Theses on the topic "K-character"

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Turner, Emma Louise. "k-S-Rings." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3670.

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For a finite group G we study certain rings called k-S-rings, one for each non-negative integer k, where the 1-S-ring is the centralizer ring of G. These rings have the property that the (k+1)-S-ring determines the k-S-ring. We show that the 4-S-ring determines G when G is any group with finite classes. We show that the 3-S-ring determines G for any finite group G, thus giving an answer to a question of Brauer. We show the 2-characters defined by Frobenius and the extended 2-characters of Ken Johnson are characters of representations of the 2-S-ring of G. We find the character table for the 2-S-ring of the dihedral groups of order 2n, n odd, and classify groups with commutative 3-S-ring.
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Chan, Mei Lan. "Character development in the Harry Potter novels of J. K. Rowling." Thesis, University of Macau, 2004. http://umaclib3.umac.mo/record=b1636170.

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Nolan, Anna W. "The social and emotional learning and character education of K-12 online students| Teacher perspectives." Thesis, State University of New York at Albany, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10144133.

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Each year, a growing number of K–12 students participate in some form of online instruction (Watson et. al, 2015). This transition to online learning environments raises questions about the design and distribution of curricula in K-12 educational systems. This dissertation explored the perceptions of K-12 online educators regarding the significance and challenges associated with teaching social and emotional learning (SEL) and character education skills in online learning environments. The SEL related efforts of current online instructors are compared to the best practices in character education and SEL known to be effective in traditional classroom settings. A mixed-methods approach of using a questionnaire to gather data and then conducting interviews was employed. Seventy-one K-12 online educators responded to the questionnaire with a smaller group of six participating in follow-up interviews. The ethics of care (Noddings, 2005) and social responsibility (May, 1996; Dewey, 2009) provided the theoretical lens for this study. Additionally, the Social Development Model (Hawkins & Weis, 1985; Catalano & Hawkins, 1996) was used as an analysis tool to gauge whether the online educators’ purported integration of social and emotional learning and character education met what the Social Development Model proposes is necessary to develop prosocial behaviors. (Abstract shortened by ProQuest.)

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Schlarmann, Eric [Verfasser], and Bernhard [Akademischer Betreuer] Hanke. "A cocycle model for the equivariant Chern character and differential equivariant K-theory / Eric Schlarmann ; Betreuer: Bernhard Hanke." Augsburg : Universität Augsburg, 2020. http://d-nb.info/1219852554/34.

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Reading, Jill. "Critical literacy in a global context reading Harry Potter /." Connect to thesis, 2006. http://portal.ecu.edu.au/adt-public/adt-ECU2007.0018.html.

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Duttler, Sabine-Michaela. "Die filmische Umsetzung der Harry-Potter-Romane /." Hamburg : Dr Kovač, 2007. http://www.verlagdrkovac.de/978-3-8300-3314-1.htm.

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Glover, Jayne Ashleigh. "The Harry Potter phenomenon literary production, generic traditions, and the question of values." Thesis, Rhodes University, 2004. http://hdl.handle.net/10962/d1002243.

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This thesis is a study of the first four books of J. K. Rowling’s Harry Potter series. It accounts for the widespread success of the novels by examining their publication and marketing histories, and their literary achievement as narratives including a sophisticated mix of generic traditions. Chapter One looks at the popularity of the novels, comparing their material production and marketing by Rowling’s English language publishers: Bloomsbury in Britain and Scholastic in the United States of America. The publisher’s influence on the public perception of each book is demonstrated by comparative study of its mode of illustration and layout. Further, the design of the books is linked to their strategic marketing and branding within the literary world. The second chapter considers Rowling’s debt to the school story. It concentrates first on the history of this relatively short-lived genre, briefly discussing its stereotypical features and values. Traditional elements of setting and characterisation are then examined to show how the Harry Potter novels present a value system which, though apparently old-fashioned, still has an ethical standpoint designed to appeal to the modern reader. Chapter Three focuses on the characterisation of Harry as a hero-figure, especially on how the influence of classical and medieval texts infuses Rowling’s portrayal of Harry as a hero in the chivalric mode. The episodes of “quest” and “test” in each book illustrate specifically how he learns the values of selflessness, loyalty, mercy and fairness. Chapter Four surveys the contribution of modern fantasy writing to the series. It shows how Rowling creates a secondary world that allows us to perceive magic as a metaphorical representation of power. This focus on the relationship between magic and power in turn has a bearing on our assessment of the author’s moral stance. The thesis concludes by suggesting that Rowling’s unusual mix of genres is justified by the values they share, and which are inscribed in her work: the generic combination forms a workable, new and exciting mode of writing that helps to account for the phenomenal popularity of the series.
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Dumitra?cu, Constantin Dorin. "The odd chern character and obstruction theory." Thesis, Virginia Tech, 1995. http://hdl.handle.net/10919/42530.

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Having as starting point a formula described in the paper of Baum & Douglas, [BmDg] the odd-degree component of the Chern character is is analyzed. Our presentation uses the obstruction theory definition Chern characteristic classes in order to emphasize the connections with the even-degree component (see Theorem 4.3.1) and leads to a natural justification of the fundamental property of the Chern character, i.e. of being a ring homomorphism. The reader is assumed to have some background in topological Î -theory and algebraic topology.


Master of Science
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Granlund, Oskar, and Kai Böhrnsen. "Improving character recognition by thresholding natural images." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208899.

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The current state of the art optical character recognition (OCR) algorithms are capable of extracting text from images in predefined conditions. OCR is extremely reliable for interpreting machine-written text with minimal distortions, but images taken in a natural scene are still challenging. In recent years the topic of improving recognition rates in natural images has gained interest because more powerful handheld devices are used. The main problem faced dealing with recognition in natural images are distortions like illuminations, font textures, and complex backgrounds. Different preprocessing approaches to separate text from its background have been researched lately. In our study, we assess the improvement reached by two of these preprocessing methods called k-means and Otsu by comparing their results from an OCR algorithm. The study showed that the preprocessing made some improvement on special occasions, but overall gained worse accuracy compared to the unaltered images.
Dagens optisk teckeninläsnings (OCR) algoritmer är kapabla av att extrahera text från bilder inom fördefinierade förhållanden. De moderna metoderna har uppnått en hög träffsäkerhet för maskinskriven text med minimala förvrängningar, men bilder tagna i en naturlig scen är fortfarande svåra att hantera. De senaste åren har ett stort intresse för att förbättra tecken igenkännings algoritmerna uppstått, eftersom fler kraftfulla och handhållna enheter används. Det huvudsakliga problemet när det kommer till igenkänning i naturliga bilder är olika förvrängningar som infallande ljus, textens textur och komplicerade bakgrunder. Olika metoder för förbehandling och därmed separation av texten och dess bakgrund har studerats under den senaste tiden. I våran studie bedömer vi förbättringen som uppnås vid förbehandlingen med två metoder som kallas för k-means och Otsu genom att jämföra svaren från en OCR algoritm. Studien visar att Otsu och k-means kan förbättra träffsäkerheten i vissa förhållanden men generellt sett ger det ett sämre resultat än de oförändrade bilderna.
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Reese, Randall Dean. "Topics Pertaining to the Group Matrix: k-Characters and Random Walks." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5570.

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Linear characters of finite groups can be extended to take k operands. The basics of such a k-fold extension are detailed. We then examine a proposition by Johnson and Sehgal pertaining to these k-characters and disprove its converse. Probabilistic models can be applied to random walks on the Cayley groups of finite order. We examine random walks on dihedral groups which converge after a finite number of steps to the random walk induced by the uniform distribution. We present both sufficient and necessary conditions for such convergence and analyze aspects of algebraic geometry related to this subject.
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Books on the topic "K-character"

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Meeks, Linda Brower. Sexuality and character education K-12. Chicago, IL: Everyday Learning Corporation, 2001.

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Kafka über Kafka: "Der Process" - gelesen und gesehen. Münster: Lit, 2000.

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Smith, McLaughlin Miriam, ed. Character education activities for K-6 classrooms. Minneapolis, MN: Educational Media Corp., 1997.

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Petersen, Katia. Activities for building character and social-emotional learning grades PreK - K. Minneapolis, MN: Free Spirit Publishing, 2012.

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Service-learning in grades K-8: Experiential learning that builds character and motivation. Thousand Oaks, Calif: Corwin Press, 2006.

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Richards, Justin. K-9. London: BBC Children's, 2006.

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J. K. Rowling. Minneapolis: Lerner Publications, 2006.

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Ann, Saylor, ed. Building character from the start: 201 activities to foster creativity, literacy, and play in K-3. Minneapolis, MN: Search Institute Press, 2009.

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101 ways to integrate personal development into core curriculum: Lessons in character education for grades K-12. Lanham: University Press of America, 2000.

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The unofficial Harry Potter cookbook. Avon, Mass: Adams Media, 2010.

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Book chapters on the topic "K-character"

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Fernau, Henning, Rudolf Freund, and Markus Holzer. "Character recognition with k-head finite array automata." In Advances in Pattern Recognition, 282–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0033246.

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Ishikawa, K., and K. Yamada. "Two-Component Character of S(k, ω) in Superfluid 4He." In Elementary Excitations in Quantum Fluids, 155–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83428-8_15.

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Zheng, Lihong, and Xiangjian He. "Character Segmentation for License Plate Recognition by K-Means Algorithm." In Image Analysis and Processing – ICIAP 2011, 444–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24088-1_46.

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Cuntz, Joachim. "Cyclic Theory, Bivariant K-Theory and the Bivariant Chern-Connes Character." In Encyclopaedia of Mathematical Sciences, 1–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06444-3_1.

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Mishra, Abhay, Krishan Kumar, Parveen Kumar, and Prakhar Mittal. "A Novel Approach for Handwritten Character Recognition Using K-NN Classifier." In Advances in Intelligent Systems and Computing, 887–94. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0751-9_81.

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Hashimoto, T., T. Tsukagoshi, H. Nitta, M. Yabuki, T. Kuriyama, and H. Nakagome. "Excellent Character of Multi-Layer Type Magnetic Regenerator near 4.2 K." In Cryocoolers 8, 677–83. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-9888-3_67.

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Sarkar, Ushnish, and Avishek Adhikari. "Hole: An Emerging Character in the Story of Radio k-Coloring Problem." In Mathematical and Statistical Applications in Life Sciences and Engineering, 3–41. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5370-2_1.

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Panda, Suneha, Mamata Nayak, and Ajit Kumar Nayak. "Clustering of Odia Character Images Using K-Means Algorithm and Spectral Clustering Algorithm." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 55–64. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_7.

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Ma, Long, Baihua Xiao, and Chunheng Wang. "Sparse Representation Based on K-Nearest Neighbor Classifier for Degraded Chinese Character Recognition." In Advances in Multimedia Information Processing - PCM 2010, 506–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15696-0_47.

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Wick, John W. "A Cross-Cutting, Interdisciplinary Learning Event: The Character Development of the Students in a K-12 District." In School-Based Evaluation, 159–82. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4221-9_7.

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Conference papers on the topic "K-character"

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Yan, Huayun, Jihong Guan, and Yunliang Jiang. "Symmetrical Bidirectional Base-k Chord and its Interesting Character." In 2009 Fifth International Conference on Semantics, Knowledge and Grid. IEEE, 2009. http://dx.doi.org/10.1109/skg.2009.45.

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Kumar, Munish, M. K. Jindal, and R. K. Sharma. "k-nearest neighbor based offline handwritten Gurmukhi character recognition." In 2011 IEEE International Conference on Image Information Processing (ICIIP). IEEE, 2011. http://dx.doi.org/10.1109/iciip.2011.6108863.

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Sreeraj, M., and Sumam Mary Idicula. "k-NN Based On-Line Handwritten Character Recognition System." In 2010 First International Conference on Integrated Intelligent Computing (ICIIC). IEEE, 2010. http://dx.doi.org/10.1109/iciic.2010.58.

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Lwin, Chit San, and Wu Xiangqian. "Myanmar Handwritten Character Recognition from Similar Character Groups Using K-Means and Convolutional Neural Network." In 2020 IEEE 3rd International Conference on Electronics and Communication Engineering (ICECE). IEEE, 2020. http://dx.doi.org/10.1109/icece51594.2020.9353028.

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Romulus, Puja, Yan Maraden, Prima Dewi Purnamasari, and Anak Agung Putri Ratna. "An analysis of optical character recognition implementation for ancient Batak characters using K-nearest neighbors principle." In 2015 International Conference on Quality in Research (QiR). IEEE, 2015. http://dx.doi.org/10.1109/qir.2015.7374893.

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Pourmohammad, Sajjad, Reza Soosahabi, and Anthony S. Maida. "An efficient character recognition scheme based on k-means clustering." In 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013). IEEE, 2013. http://dx.doi.org/10.1109/icmsao.2013.6552640.

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Gaur, Akanksha, and Sunita Yadav. "Handwritten Hindi character recognition using k-means clustering and SVM." In 2015 4th International Symposium on Emerging Trends and Technologies in Libraries and Information Services (ETTLIS). IEEE, 2015. http://dx.doi.org/10.1109/ettlis.2015.7048173.

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Kunkhet, Arus, Keattikorn Samarnggoon, and Ketsaraporn Maneejuk. "3D Character Modelling for K-Pop Dances: A Workflow Analysis." In 2019 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT-NCON). IEEE, 2019. http://dx.doi.org/10.1109/ecti-ncon.2019.8692264.

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Naik, Vishal A., and Apurva A. Desai. "Online handwritten Gujarati character recognition using SVM, MLP, and K-NN." In 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2017. http://dx.doi.org/10.1109/icccnt.2017.8203926.

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Gong, Huiwen, and Wei Xiang. "Tibetan Character Recognition Based on Machine Learning of K-means Algorithm." In 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/cmsa-18.2018.78.

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