Relevant bibliographies by topics / Statistical Extraction

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

Academic literature on the topic 'Statistical Extraction'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Statistical Extraction"

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Nazar, Rogelio. "A statistical approach to term extraction." International Journal of English Studies 11, no. 2 (2011): 159. http://dx.doi.org/10.6018/ijes/2011/2/149691.

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This paper argues in favor of a statistical approach to terminology extraction, general to all languages but with language specific parameters. In contrast to many application-oriented terminology studies, which are focused on a particular language and domain, this paper adopts some general principles of the statistical properties of terms and a method to obtain the corresponding language specific parameters. This method is used for the automatic identification of terminology and is quantitatively evaluated in an empirical study of English medical terms. The proposal is theoretically and compu
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et al., Seneviratne. "Markov logic for statistical relation extraction." International Journal of ADVANCED AND APPLIED SCIENCES 7, no. 10 (2020): 1–11. http://dx.doi.org/10.21833/ijaas.2020.10.001.

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Balakrishna, N., and G. Hareesh. "Statistical signal extraction using stable processes." Statistics & Probability Letters 79, no. 7 (2009): 851–56. http://dx.doi.org/10.1016/j.spl.2008.11.006.

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Nie, Zaiqing, Ji-Rong Wen, and Wei-Ying Ma. "Statistical Entity Extraction From the Web." Proceedings of the IEEE 100, no. 9 (2012): 2675–87. http://dx.doi.org/10.1109/jproc.2012.2191369.

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Chul Choi, Hae, and Seong Dae Kim. "Boundary extraction using statistical shape descriptor." Electronics Letters 38, no. 22 (2002): 1330. http://dx.doi.org/10.1049/el:20020918.

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Corbett, Jennifer E., and Joo-Hyun Song. "Statistical extraction affects visually guided action." Visual Cognition 22, no. 7 (2014): 881–95. http://dx.doi.org/10.1080/13506285.2014.927044.

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Brunello, Giulia, Marleen De Biagi, Giulia Crepaldi, Fernanda Izaura Rodrigues, and Stefano Sivolella. "An Observational Cohort Study on Delayed-Onset Infections after Mandibular Third-Molar Extractions." International Journal of Dentistry 2017 (2017): 1–5. http://dx.doi.org/10.1155/2017/1435348.

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Objectives. The purpose of the present study was to investigate the occurrence and clinical features of delayed-onset infections after mandibular third-molar extractions. Method and Materials. An observational cohort study was conducted on 179 patients undergoing mandibular third-molar extraction between January 2013 and December 2015, for a total of 217 extractions. Data were recorded at the time of extraction (T0), on suture removal seven days later (T1), and 30 days after the extraction, when patients were contacted and asked about their healing process (T2). The statistical analysis was pe
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GHOSH, ANIL KUMAR, and SMARAJIT BOSE. "FEATURE EXTRACTION FOR CLASSIFICATION USING STATISTICAL NETWORKS." International Journal of Pattern Recognition and Artificial Intelligence 21, no. 07 (2007): 1103–26. http://dx.doi.org/10.1142/s0218001407005855.

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In a classification problem, quite often the dimension of the measurement vector is large. Some of these measurements may not be important for separating the classes. Removal of these measurement variables not only reduces the computational cost but also leads to better understanding of class separability. There are some methods in the existing literature for reducing the dimensionality of a classification problem without losing much of the separability information. However, these dimension reduction procedures usually work well for linear classifiers. In the case where competing classes are n
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TÜR, GÖKHAN, DILEK HAKKANI-TÜR, and KEMAL OFLAZER. "A statistical information extraction system for Turkish." Natural Language Engineering 9, no. 2 (2003): 181–210. http://dx.doi.org/10.1017/s135132490200284x.

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This paper presents the results of a study on information extraction from unrestricted Turkish text using statistical language processing methods. In languages like English, there is a very small number of possible word forms with a given root word. However, languages like Turkish have very productive agglutinative morphology. Thus, it is an issue to build statistical models for specific tasks using the surface forms of the words, mainly because of the data sparseness problem. In order to alleviate this problem, we used additional syntactic information, i.e. the morphological structure of the
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Lukhezo, M., L. J. Dunne, B. G. Reuben, and M. S. Verrall. "Statistical mechanical treatment of reactive solvent extraction." Chemical Physics 220, no. 1-2 (1997): 53–61. http://dx.doi.org/10.1016/s0301-0104(97)00122-5.

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Dissertations / Theses on the topic "Statistical Extraction"

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Bejugam, Santosh. "Tremor quantification and parameter extraction." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-16021.

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Tremor is a neuro degenerative disease causing involuntary musclemovements in human limbs. There are many types of tremor that arecaused due to the damage of nerve cells that surrounds thalamus of thefront brain chamber. It is hard to distinguish or classify the tremors asthere are many reasons behind the formation of specific category, soevery tremor type is named behind its frequency type. Propermedication for the cure by physician is possible only when the disease isidentified.Because of the argument given in the above paragraph, there is a needof a device or a technique to analyze the trem
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Wermter, Joachim. "Collocation and term extraction using linguistically enhanced statistical methods." kostenfrei, 2009. http://d-nb.info/993920594/34.

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Basile, Chiara <1982&gt. "Entropy and Semantics: Textual Information Extraction through Statistical Methods." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/3224/.

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Chu, Chenhui. "Integrated Parallel Data Extraction from Comparable Corpora for Statistical Machine Translation." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199431.

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Le, Faucheur Xavier Jean Maurice. "Statistical methods for feature extraction in shape analysis and bioinformatics." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33911.

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The presented research explores two different problems of statistical data analysis. In the first part of this thesis, a method for 3D shape representation, compression and smoothing is presented. First, a technique for encoding non-spherical surfaces using second generation wavelet decomposition is described. Second, a novel model is proposed for wavelet-based surface enhancement. This part of the work aims to develop an efficient algorithm for removing irrelevant and noise-like variations from 3D shapes. Surfaces are encoded using second generation wavelets, and the proposed methodology con
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Yang, Yi Yang. "PAT-Tree and local statistical information based Chinese phrase extraction." Thesis, University of Macau, 2009. http://umaclib3.umac.mo/record=b2119794.

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Hildreth, Scott A. "Statistical SPICE parameter extraction for an N-Well CMOS process /." Online version of thesis, 1995. http://hdl.handle.net/1850/12177.

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Thiede, Renate Nicole. "Statistical accuracy of an extraction algorithm for linear image objects." Diss., University of Pretoria, 2019. http://hdl.handle.net/2263/73211.

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Informal unpaved roads in developing countries arise naturally through human movement and informal housing setups. These roads are not authorised nor maintained by council, nor recorded in official databases or online maps. Mapping such roads from satellite images is a common problem, as information on these roads is critical for sustainable city growth. Information on their location and extent may be gleaned from spatial big data, however, no automatic or semi-automatic approach is freely available. This research develops a novel algorithm for extracting informal roads from multispectral sat
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Yu, Li Ph D. Massachusetts Institute of Technology. "Efficient IC statistical modeling and extraction using a Bayesian inference framework." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99786.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 147-156).<br>Variability modeling and extraction in advanced process technologies is a key challenge to ensure robust circuit performance as well as high manufacturing yield. In this thesis, we present an ecient framework for
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Tilley, Jason W. "A Comparison of Statistical Filtering Methods for Automatic Term Extraction for Domain Analysis." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/30818.

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Fourteen word frequency metrics were tested to evaluate their effectiveness in identifying vocabulary in a domain. Fifteen domain engineering projects were examined to measure how closely the vocabularies selected by the fourteen word frequency metrics were to the vocabularies produced by domain engineers. Six filtering mechanisms were also evaluated to measure their impact on selecting proper vocabulary terms. The results of the experiment show that stemming and stop word removal do improve overlap scores and that term frequency is a valuable contributor to overlap. Variations on term frequ
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Books on the topic "Statistical Extraction"

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Developments in data extraction, management, and analysis. Information Science Reference, 2012.

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Côte d'Ivoire. République de la Côte d'Ivoire, union-discipline-travail. Ministère d'Etat, Ministère du Plan et du Dèveloppement. Image économique des entreprises en 2005: Extraction de minérais métalliques. Institut national de la statistique, 2008.

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Petrucci, Alessandra, and Rosanna Verde, eds. SIS 2017. Statistics and Data Science: new challenges, new generations. Firenze University Press, 2017. http://dx.doi.org/10.36253/978-88-6453-521-0.

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The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of ‘meaning’ extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of ‘Big data’, open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from
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Liu, Huan. Feature Extraction, Construction and Selection: A Data Mining Perspective. Springer US, 1998.

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Bock, Hans-Hermann. Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data. Springer Berlin Heidelberg, 2000.

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Côte d'Ivoire. République de la Côte d'Ivoire, union-discipline-travail. Ministère d'Etat, Ministère du Plan et du Dèveloppement. Image économique des entreprises en 2005: Extraction de pétrole brut et de gaz naturel. Institut national de la statistique, 2008.

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Frengen, Geir. Innovation in Norwegian manufacturing and oil extraction in 1992. Statistisk sentralbyrå, 1995.

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Whelan, Robert. Oregon's mineral industries: An assessment of the size and economic importance of mineral extraction in 1993. State of Oregon, Dept. of Geology and Mineral Industries, 1994.

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Wessel, Louis. Wyoming oil and natural gas extraction industry: A wage & employment survey, 1986. Wyoming Dept. of Labor & Statistics, 1986.

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Conference on Knowledge Extraction and Symbolic Data Analysis (1998 Luxembourg). Proceedings of the Conference on Knowledge Extraction and Symbolic Data Analysis: KESDA '98, Luxembourg, 27 to 28 April 1998. Office for Official Publications of the European Communities, 1999.

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Book chapters on the topic "Statistical Extraction"

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Huang, Gan. "Statistical Analysis." In EEG Signal Processing and Feature Extraction. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9113-2_17.

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Chaki, Jyotismita, and Nilanjan Dey. "Statistical Texture Features." In Texture Feature Extraction Techniques for Image Recognition. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0853-0_2.

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Shen, Ruijing, Sheldon X. D. Tan, and Hao Yu. "Statistical Capacitance Modeling and Extraction." In Statistical Performance Analysis and Modeling Techniques for Nanometer VLSI Designs. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-0788-1_11.

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Shen, Ruijing, Sheldon X. D. Tan, and Hao Yu. "Statistical Inductance Modeling and Extraction." In Statistical Performance Analysis and Modeling Techniques for Nanometer VLSI Designs. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-0788-1_13.

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Kabadjov, Mijail, Josef Steinberger, and Ralf Steinberger. "Multilingual Statistical News Summarization." In Multi-source, Multilingual Information Extraction and Summarization. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28569-1_11.

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Ding, Shifei, Weikuan Jia, Chunyang Su, Fengxiang Jin, and Zhongzhi Shi. "A Survey on Statistical Pattern Feature Extraction." In Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85984-0_84.

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Cao, Yu. "Statistical Extraction and Modeling of CMOS Variability." In Integrated Circuits and Systems. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0445-3_4.

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Niepert, Mathias. "Statistical Relational Data Integration for Information Extraction." In Reasoning Web. Semantic Technologies for Intelligent Data Access. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39784-4_7.

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Fung, Pascale. "A statistical view on bilingual lexicon extraction." In Text, Speech and Language Technology. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-2535-4_11.

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Takasu, Atsuhiro, Teruhito Kanazawa, and Jun Adachi. "Statistical Phrase Extraction and Indexing for Music Retrieval." In Entertainment Computing. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35660-0_34.

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Conference papers on the topic "Statistical Extraction"

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Qureshi, Pir Abdul Rasool, and Nasrullah Memon. "Statistical Model for Content Extraction." In 2011 European Intelligence and Security Informatics Conference (EISIC). IEEE, 2011. http://dx.doi.org/10.1109/eisic.2011.75.

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Ben Haj Ayech, Marouane, and Hamid Amiri. "Texture description using statistical feature extraction." In 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2016. http://dx.doi.org/10.1109/atsip.2016.7523072.

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Hakkani-Tur, Dilek, and Gokhan Tur. "Statistical Sentence Extraction for Information Distillation." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.367148.

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Dugast, Loic, Jean Senellart, and Philipp Koehn. "Statistical post editing and dictionary extraction." In the Fourth Workshop. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1626431.1626454.

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Asadzadeh, Saeid. "Statistical convex partitioning for endmember extraction." In Remote Sensing, edited by Ulrich Michel and Daniel L. Civco. SPIE, 2010. http://dx.doi.org/10.1117/12.863837.

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Shore, K. A., M. W. Lee, J. Paul, et al. "Chaos Synchronisation and Message Extraction in Optical Chaos Communications." In NONEQUILIBRIUM STATISTICAL MECHANICS AND NONLINEAR PHYSICS: XV Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics. AIP, 2007. http://dx.doi.org/10.1063/1.2746726.

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Imsombut, Aurawan. "A statistical approach for semantic relation extraction." In 2009 Eighth International Symposium on Natural Language Processing (SNLP). IEEE, 2009. http://dx.doi.org/10.1109/snlp.2009.5340947.

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Hossain, Md Alamgir, Debabrata Samanta, and Goutam Sanyal. "Statistical Approach for Extraction of Panic Expression." In 2012 4th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2012. http://dx.doi.org/10.1109/cicn.2012.189.

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Mann, Gideon S. "A statistical method for short answer extraction." In the workshop. Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1117856.1117860.

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Bergemann, Tracy, Filemon Quiaoit, Jeffrey J. Delrow, and Lue Ping Zhao. "Statistical issues in signal extraction from microarrays." In BiOS 2001 The International Symposium on Biomedical Optics, edited by Michael L. Bittner, Yidong Chen, Andreas N. Dorsel, and Edward R. Dougherty. SPIE, 2001. http://dx.doi.org/10.1117/12.427997.

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Reports on the topic "Statistical Extraction"

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Schaub, Hanspeter. Extracting primary features of a statistical pressure snake. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/974894.

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Kegelmeyer, Jr, W. Extraction of cloud statistics from whole sky imaging cameras. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10141846.

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