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Journal articles on the topic 'Statistical Extraction'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

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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4

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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5

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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6

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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7

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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11

Spanos, C. J., and S. W. Director. "Parameter Extraction for Statistical IC Process Characterization." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 5, no. 1 (1986): 66–78. http://dx.doi.org/10.1109/tcad.1986.1270178.

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12

Brambilla, A., and P. Maffezzoni. "A statistical algorithm for 3D capacitance extraction." IEEE Microwave and Guided Wave Letters 10, no. 8 (2000): 304–6. http://dx.doi.org/10.1109/75.862222.

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Bansal, Atul, Ravinder Agarwal, and R. K. Sharma. "Statistical feature extraction based iris recognition system." Sādhanā 41, no. 5 (2016): 507–18. http://dx.doi.org/10.1007/s12046-016-0492-9.

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14

Rodzuan, Nur Aniq Syafiq, Shahreen Kasim, Mohanavali Sithambranathan, and Muhammad Zaki Hassan. "Classification of Biomedical Literature in Hypertension and Diabetes." International Journal on Data Science 1, no. 2 (2020): 114–19. http://dx.doi.org/10.18517/ijods.1.2.114-119.2020.

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Textual information gives us more clear information as it is presented using words and characters, which is easy for humans to understand. To extract this kind of information, text mining was introduced as new technology. Text mining is the process of extracting non-trivial patterns or knowledge from text documents or from textual databases. The purpose of this research paper is to perform and compare keyword extraction using statistical and linguistic extraction tools for 120 text documents related to hypertension and diabetes disease. In order to draw this comparison, RStudio, a statistical-

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Taiwo, Abdurrazaq Olanrewaju, Adebayo Aremu Ibikunle, Ramat Oyebunmi Braimah, Omotayo Amidu Sulaiman, and Olalekan Micah Gbotolorun. "Tooth extraction: Pattern and etiology from extreme Northwestern Nigeria." European Journal of Dentistry 11, no. 03 (2017): 335–39. http://dx.doi.org/10.4103/ejd.ejd_160_17.

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ABSTRACT Objective: Tooth extraction is a commonly performed procedure in dental clinics. It has been shown that the reasons for and pattern of tooth extraction vary across geographical regions. Few reports on the pattern of extraction among a semi-urban populace exist. To the best of our knowledge, there is no study on the pattern and reasons for tooth mortality from Sokoto, Northwestern Nigeria, which is a semi-urban region. Materials and Methods: A review of the records of patients that had tooth extraction at our center between January 2009 and January 2016, was done. Data such as the age,

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WANG, Li, Xiaoan TANG, Junda ZHANG, and Dongdong GUAN. "Statistical Property Guided Feature Extraction for Volume Data." IEICE Transactions on Information and Systems E101.D, no. 1 (2018): 261–64. http://dx.doi.org/10.1587/transinf.2017edl8188.

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CHOI, Haechul, Ho Chul SHIN, Si-Woong LEE, and Yun-Ho KO. "Moments Added Statistical Shape Model for Boundary Extraction." IEICE Transactions on Information and Systems E92-D, no. 12 (2009): 2524–26. http://dx.doi.org/10.1587/transinf.e92.d.2524.

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18

Wang, Yu, Hanxiao Xue, Yang Liu, and Waixi Liu. "Statistical network protocol identification with unknown pattern extraction." Annals of Telecommunications 74, no. 7-8 (2019): 473–82. http://dx.doi.org/10.1007/s12243-019-00704-y.

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19

Li, Qing, and Yuanzhu Peter Chen. "Personalized text snippet extraction using statistical language models." Pattern Recognition 43, no. 1 (2010): 378–86. http://dx.doi.org/10.1016/j.patcog.2009.06.003.

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20

Zuo, Yi, A. B. M. Shawkat Ali, and Katsutoshi Yada. "Consumer Purchasing Behavior Extraction Using Statistical Learning Theory." Procedia Computer Science 35 (2014): 1464–73. http://dx.doi.org/10.1016/j.procs.2014.08.209.

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21

Boublík, Tomáš. "Supercritical fluid extraction of solids. Statistical thermodynamic approachZ." Physical Chemistry Chemical Physics 2, no. 1 (2000): 91–95. http://dx.doi.org/10.1039/a907344b.

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22

Chong, S. C., and A. Treisman. "Parallel extraction of statistical descriptors in visual displays." Journal of Vision 3, no. 9 (2010): 238. http://dx.doi.org/10.1167/3.9.238.

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23

Sun, Yangguang, Mingyue Ding, Chao Cai, and Chengping Zhou. "QSDM: Quantum Statistical Deformable Model for Boundary Extraction." Journal of Computational and Theoretical Nanoscience 12, no. 7 (2015): 1206–19. http://dx.doi.org/10.1166/jctn.2015.3875.

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24

Viraraghavan, Janakiraman, Shrinivas J. Pandharpure, and Josef Watts. "Statistical Compact Model Extraction: A Neural Network Approach." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 31, no. 12 (2012): 1920–24. http://dx.doi.org/10.1109/tcad.2012.2207955.

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Srivastava, Jyoti, Sudip Sanyal, and Ashish Kumar Srivastava. "Extraction of reordering rules for statistical machine translation." Journal of Intelligent & Fuzzy Systems 36, no. 5 (2019): 4809–19. http://dx.doi.org/10.3233/jifs-179029.

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26

Revanth, Koduru, and Viraraghavan Janakiraman. "Statistical compact model extraction for skew‐normal distributions." IET Circuits, Devices & Systems 14, no. 5 (2020): 576–85. http://dx.doi.org/10.1049/iet-cds.2019.0366.

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27

Reddy, Jahnavi. "STATISTICAL DATA MINING TECHNIQUE FOR SALIENT FEATURE EXTRACTION." International Journal of Intelligent Systems Technologies and Applications 18, no. 4 (2019): 1. http://dx.doi.org/10.1504/ijista.2019.10019301.

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28

Gam, Da Hye, Song Yi Kim, and Jin Woo Kim. "Optimization of Ultrasound-Assisted Extraction Condition for Phenolic Compounds, Antioxidant Activity, and Epigallocatechin Gallate in Lipid-Extracted Microalgae." Molecules 25, no. 3 (2020): 454. http://dx.doi.org/10.3390/molecules25030454.

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Lipid-extracted microalgae (LEM, Tetraselmis KCTC 12236BP), a solid waste by-product obtained from algal biodiesel production, is typically considered a rich source of antioxidant compounds, including phenolic compounds. The purpose of this study was to apply a statistically-based methodology to enhance the extraction of total phenolic compounds (TPCs) and antioxidant activity (AA) from LEM and to verify the production of epigallocatechin gallate (EGCG), a bioactive material, under optimum conditions. The optimal extractions of TPC and AA were explored by varying the key variables, including t

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29

Yadav, Chandra Shekhar, and Aditi Sharan. "Hybrid Approach for Single Text Document Summarization Using Statistical and Sentiment Features." International Journal of Information Retrieval Research 5, no. 4 (2015): 46–70. http://dx.doi.org/10.4018/ijirr.2015100104.

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Summarization is a way to represent same information in concise way with equal sense. This can be categorized in two type Abstractive and Extractive type. Our work is focused around Extractive summarization. A generic approach to extractive summarization is to consider sentence as an entity, score each sentence based on some indicative features to ascertain the quality of sentence for inclusion in summary. Sort the sentences on the score and consider top n sentences for summarization. Mostly statistical features have been used for scoring the sentences. A hybrid model for a single text documen

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30

Du, Lin Na, Jia Song, Ling Jun Meng, Jia Hui Lu, Qing Fan Meng, and Li Rong Teng. "Application of Two Modeling Methods in Optimization for Adenosine Extraction from Mycelium of Cordyceps Militaris." Advanced Materials Research 343-344 (September 2011): 826–31. http://dx.doi.org/10.4028/www.scientific.net/amr.343-344.826.

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An experimental mixture design coupled with data analysis by means of both response surface methodology(RSM) and artificial neural network(ANN) was applied to explore the optimum process parameters for adenosine extraction from cultured mycelium of Cordyceps militaris. With the extraction rate of adenosine as index, the critical factors selected for the investigation were extracting temperature, extracting time and solid-liquid radio. The results obtained by the application of ANN were more reliable since better statistical parameters were obtained. The optimum extraction procedure was as foll

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31

Vafaei Jahan, Majid. "Feature Extraction of Computer Files Structure by Statistical Analysis." Signal and Data Processing 13, no. 4 (2017): 43–62. http://dx.doi.org/10.18869/acadpub.jsdp.13.4.43.

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32

Jiang, Jian Wei, De Jian Zhou, Bing Li, Yu Tang, and Xiang Yang Xie. "Application of Statistical Methods in Experimental Modal Frequency Extraction." Applied Mechanics and Materials 738-739 (March 2015): 569–72. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.569.

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In order to extract the experimental modal analysis of the Modal frequency accurately, measuring twelve set of data during the experiment, to use the method of statistical frequency based on mathematical method to extract modal frequencies. It is helpful to avoid frequency leakage phenomenon as the reasons of excitation source select inappropriate and quickly and efficiently for a general analysis staff to extract the modal frequency values.

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33

Neubig, Graham, Taro Watanabe, Eiichiro Sumita, Shinsuke Mori, and Tatsuya Kawahara. "Joint Phrase Alignment and Extraction for Statistical Machine Translation." Journal of Information Processing 20, no. 2 (2012): 512–23. http://dx.doi.org/10.2197/ipsjjip.20.512.

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34

Skerritt-Davis, Benjamin, and Mounya Elhilali. "A Model for Statistical Regularity Extraction from Dynamic Sounds." Acta Acustica united with Acustica 105, no. 1 (2019): 1–4. http://dx.doi.org/10.3813/aaa.919279.

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35

Ming He, Shirui Yan, and Yongping Du. "Top-k Query Based on Statistical Information Extraction Model." International Journal of Advancements in Computing Technology 3, no. 1 (2011): 80–86. http://dx.doi.org/10.4156/ijact.vol3.issue1.9.

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36

Luthra, Shruti, Dinkar Arora, Kanika Mittal, and Anusha Chhabra. "A Statistical Approach of Keyword Extraction for Efficient Retrieval." International Journal of Computer Applications 168, no. 7 (2017): 31–36. http://dx.doi.org/10.5120/ijca2017914443.

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37

Hao, Zhigang, Sheldon X. D. Tan, E. Tlelo-Cuautle, et al. "Statistical extraction and modeling of inductance considering spatial correlation." Analog Integrated Circuits and Signal Processing 73, no. 1 (2011): 3–11. http://dx.doi.org/10.1007/s10470-011-9720-8.

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38

Brand, J., and C. Oriet. "The Rapid Extraction of Statistical Properties in Visual Search." Journal of Vision 11, no. 11 (2011): 1204. http://dx.doi.org/10.1167/11.11.1204.

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39

Batterink, Laura J. "Rapid Statistical Learning Supporting Word Extraction From Continuous Speech." Psychological Science 28, no. 7 (2017): 921–28. http://dx.doi.org/10.1177/0956797617698226.

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The identification of words in continuous speech, known as speech segmentation, is a critical early step in language acquisition. This process is partially supported by statistical learning, the ability to extract patterns from the environment. Given that speech segmentation represents a potential bottleneck for language acquisition, patterns in speech may be extracted very rapidly, without extensive exposure. This hypothesis was examined by exposing participants to continuous speech streams composed of novel repeating nonsense words. Learning was measured on-line using a reaction time task. A

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40

McElroy, Tucker. "Statistical Properties of Model-Based Signal Extraction Diagnostic Tests." Communications in Statistics - Theory and Methods 37, no. 4 (2008): 591–616. http://dx.doi.org/10.1080/03610920701669785.

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41

Li, Bing, Ning Chen, Yang Xu, and Ulf Schlichtmann. "On Timing Model Extraction and Hierarchical Statistical Timing Analysis." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 32, no. 3 (2013): 367–80. http://dx.doi.org/10.1109/tcad.2012.2228305.

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42

Tay, C. J., C. Quan, L. Chen, and Y. Fu. "Phase extraction from electronic speckle patterns by statistical analysis." Optics Communications 236, no. 4-6 (2004): 259–69. http://dx.doi.org/10.1016/j.optcom.2004.03.039.

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43

Kitagawa, Genshiro. "Signal extraction and knowledge discovery based on statistical modeling." Theoretical Computer Science 364, no. 1 (2006): 132–42. http://dx.doi.org/10.1016/j.tcs.2006.07.045.

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44

Przywara, Česlav, and Ondřej Bojar. "eppex: Epochal Phrase Table Extraction for Statistical Machine Translation." Prague Bulletin of Mathematical Linguistics 96, no. 1 (2011): 89–98. http://dx.doi.org/10.2478/v10108-011-0014-1.

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eppex: Epochal Phrase Table Extraction for Statistical Machine Translation We present a tool that extracts phrase pairs from a word-aligned parallel corpus and filters them on the fly based on a user-defined frequency threshold. The bulk of phrase pairs to be scored is much reduced, making the whole phrase table construction process faster with no significant harm to the ultimate phrase table quality as measured by BLEU. Technically, our tool is an alternative to the extract component of the phrase-extract toolkit bundled with Moses SMT software and covers some of the functionality of sigfilte

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45

Cootes, T. F., and C. J. Taylor. "Anatomical statistical models and their role in feature extraction." British Journal of Radiology 77, suppl_2 (2004): S133—S139. http://dx.doi.org/10.1259/bjr/20343922.

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46

Moore, J. C., E. Beaudon, Shichang Kang, et al. "Statistical extraction of volcanic sulphate from nonpolar ice cores." Journal of Geophysical Research: Atmospheres 117, no. D3 (2012): n/a. http://dx.doi.org/10.1029/2011jd016592.

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47

Wen-Chi Hou. "Extraction and applications of statistical relationships in relational databases." IEEE Transactions on Knowledge and Data Engineering 8, no. 6 (1996): 939–45. http://dx.doi.org/10.1109/69.553160.

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48

Baltatzis, S., G. Georgopoulos, and P. Theodossiadis. "Fibrin Reaction after Extracapsular Cataract Extraction: A Statistical Evaluation." European Journal of Ophthalmology 3, no. 2 (1993): 95–97. http://dx.doi.org/10.1177/112067219300300208.

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As part of a retrospective sudy, 1056 eyes of 940 patients who had undergone extracapsular cataract surgery and posterior chamber IOL implantation were studied using statistical methods (chi-squared test). We studied the presence of fibrin reaction in three subgroups: diabetics without retinopathy (102 eyes), previously operated for primary open angle glaucoma “POAG” (78 eyes) and exfoliation syndrome without glaucoma (43 eyes). The results were compared for these three groups and for a group of normal individuals. The incidence of fibrin reaction was 13.7% in the diabetics, 44.8% in the group

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Ibrahim, Imanurfatiehah, Anis Salwa Mohd Khairuddin, Hamzah Arof, Rubiyah Yusof, and Effariza Hanafi. "Statistical feature extraction method for wood species recognition system." European Journal of Wood and Wood Products 76, no. 1 (2017): 345–56. http://dx.doi.org/10.1007/s00107-017-1163-1.

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50

Pollock, D. S. G., and Tommaso Proietti. "2nd Special Issue on Statistical Signal Extraction and Filtering." Computational Statistics & Data Analysis 52, no. 2 (2007): 817–20. http://dx.doi.org/10.1016/j.csda.2007.08.004.

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