Relevant bibliographies by topics / Automatic dictionary

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

Academic literature on the topic 'Automatic dictionary'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Automatic dictionary"

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Wang, Fei, Noah Lee, Jimeng Sun, Jianying Hu, and Shahram Ebadollahi. "Automatic Group Sparse Coding." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 495–500. http://dx.doi.org/10.1609/aaai.v25i1.7928.

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Sparse Coding (SC), which models the data vectors as sparse linear combinations over basis vectors (i.e., dictionary), has been widely applied in machine learning, signal processing and neuroscience. Recently, one specific SC technique, Group Sparse Coding (GSC), has been proposed to learn a common dictionary over multiple different groups of data, where the data groups are assumed to be pre-defined. In practice, this may not always be the case. In this paper, we propose Automatic Group Sparse Coding (AutoGSC), which can (1) discover the hidden data groups; (2) learn a common dictionary over d
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Zhang, Hui, and Yong Qi Wang. "Automatic Construction of Collocation Dictionary Based on Text Mining." Advanced Materials Research 532-533 (June 2012): 1243–47. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1243.

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A collocation dictionary is a useful component to many natural language and spoken language processing application, such as grammar checking, text-speech conversion and machine translation. Currently the collocation dictionary is constructed by human. Firstly, it may not be updated frequently and many lexicon entries may be not available. Secondly, to construct such a dictionary may need lots of human resources. In this paper, a data-mining approach for constructing a collocation dictionary is surveyed. The main purpose is to enable cheap and quick acquisition of a collocation dictionary from
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Subalalitha, C. N., and E. Poovammal. "Automatic Bilingual Dictionary Construction for Tirukural." Applied Artificial Intelligence 32, no. 6 (2018): 558–67. http://dx.doi.org/10.1080/08839514.2018.1481590.

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Mihaljević, Josip, and Lana Hudeček. "Model for developing educational games based on data from dictionary structure." Studia lexicographica 16, no. 30 (2022): 111–33. http://dx.doi.org/10.33604/sl.16.30.6.

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The paper describes a model for transferring data from dictionary structure into games. The model is developed on the example of Croatian Web Dictionary – Mrežnik. Mrežnik has a complex structure with fields and subfields for entering data created in TLex. Dictionary data organized in a fixed structure can be selected from the dictionary, exported, and used for automatic or semi-automatic creation of educational games like spelling games, accentuation, splitting words into syllables, idioms, and word relations (e.g. synonyms, antonyms). Dictionary data can be processed by a game algorithm that
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Sviķe, Silga. "Lessons learned from an electronic botany dictionary compilation project." Studies about Languages 1, no. 44 (2024): 82–96. http://dx.doi.org/10.5755/j01.sal.1.44.35882.

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The study offers insights into the design, working model, and solutions of the specialised electronic dictionary of botany terms in Latvian, Latin, English, German, and Russian, developed as a mobile application. The third version of this dictionary has been updated as a final one within the project ‘Smart Complex of Information Systems of Specialised Biology Lexis for the Research and Preservation of Linguistic Diversity’ and published in the Google Play Store and the Apple Store in January 2024.The study describes various aspects of the conception of a dictionary of botany terms and offers a
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Zhou, Wei, Chengdong Wu, Dali Chen, Zhenzhu Wang, Yugen Yi, and Wenyou Du. "Automatic Microaneurysms Detection Based on Multifeature Fusion Dictionary Learning." Computational and Mathematical Methods in Medicine 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2483137.

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Recently, microaneurysm (MA) detection has attracted a lot of attention in the medical image processing community. Since MAs can be seen as the earliest lesions in diabetic retinopathy, their detection plays a critical role in diabetic retinopathy diagnosis. In this paper, we propose a novel MA detection approach named multifeature fusion dictionary learning (MFFDL). The proposed method consists of four steps: preprocessing, candidate extraction, multifeature dictionary learning, and classification. The novelty of our proposed approach lies in incorporating the semantic relationships among mul
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Cmejrek, Martin, and Jan Curín. "Automatic Extraction of Terminological Translation Lexicon from Czech-English Parallel Texts." Text Corpora and Multilingual Lexicography 6, no. 3 (2001): 1–12. http://dx.doi.org/10.1075/ijcl.6.si.02cme.

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We present experimental results of an automatic extraction of a Czech-English translation dictionary. Two different bilingual corpora (119,886 sentence pairs computer-oriented and 58,137 journalistic corpora) were created. We used the length-based statistical method for sentence alignment (Gale and Church 1991) and noun phrase marker working with regular grammar and probabilistic model (Brown et al. 1993) for dictionary extraction. Resulting dictionaries’ size varies around 6,000 entries. After significance filtering, weighted precision is 86.4% for computer-oriented and 70.7% for journalistic
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Skripkauskas, Mantas, and Laimutis Telksnys. "Automatic Transcription of Lithuanian Text Using Dictionary." Informatica 17, no. 4 (2006): 587–600. http://dx.doi.org/10.15388/informatica.2006.157.

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Vanhilst, Michael. "Meaning token dictionary for automatic speech recognition." Journal of the Acoustical Society of America 120, no. 2 (2006): 581. http://dx.doi.org/10.1121/1.2336697.

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Kim, Suntae, and Dongsun Kim. "Automatic identifier inconsistency detection using code dictionary." Empirical Software Engineering 21, no. 2 (2015): 565–604. http://dx.doi.org/10.1007/s10664-015-9369-5.

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Dissertations / Theses on the topic "Automatic dictionary"

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Nkosi, Mpho Caselinah. "Creation of a pronunciation dictionary for automatic speech recognition : a morphological approach." Thesis, University of Limpopo (Turfloop Campus), 2012. http://hdl.handle.net/10386/1030.

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Thesis (M.Sc. (Computer Science)) --University of Limpopo, 2012<br>Pronunciation dictionaries or lexicons play an important role in guiding the predictive powers of an Automatic Speech Recognition (ASR) system. As the use of automatic speech recognition systems increases, there is a need for the development of dictionaries that cover a large number of inflected word forms to enhance the performance of ASR systems. The main purpose of this study is to investigate the contribution of the morphological approach to creating a more comprehensive and broadly representative Northern Sotho pronunciati
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Hall, A. R. "Automatic speech recognition using morpheme structure rules for word hypothesis and dictionary generation." Thesis, London South Bank University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.352963.

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Holst, Andy. "Automatic Transcript Generator for Podcast Files." Thesis, Linnaeus University, School of Computer Science, Physics and Mathematics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-6936.

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<p>In the modern world, Internet has become a popular place, people with speech hearing disabilities and search engines can't take part of speech content in podcast les. In order to solve the problem partially, the Sphinx decoders such as Sphinx-3, Sphinx-4 can be used to implement a Auto Transcript Generator application, by coupling already existing large acoustic model, language model and a existing dictionary, or by training your own large acoustic model, language model and creating your own dictionary to support continuous speaker independent speech recognition system.</p>
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Martirosian, Olga Meruzhanovna. "Adapting a pronunciation dictionary to Standard South African English for automatic speech recognition / Olga Meruzhanovna Martirosian." Thesis, North-West University, 2009. http://hdl.handle.net/10394/4902.

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The pronunciation dictionary is a key resource required during the development of an automatic speech recognition (ASR) system. In this thesis, we adapt a British English pronunciation dictionary to Standard South African English (SSAE), as a case study in dialect adaptation. Our investigation leads us in three different directions: dictionary verification, phoneme redundancy evaluation and phoneme adaptation. A pronunciation dictionary should be verified for correctness before its implementation in experiments or applications. However, employing a human to verify a full pronunciation dictiona
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Inagaki, Yasuyoshi, Shigeki Matsubara, and Makoto Ohara. "AUTOMATIC EXTRACTION OF TRANSLATION PATTERNS FROM BILINGUAL LEGAL CORPUS." IEEE, 2003. http://hdl.handle.net/2237/15084.

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Goussard, George Willem. "Unsupervised clustering of audio data for acoustic modelling in automatic speech recognition systems." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6686.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2011.<br>ENGLISH ABSTRACT: This thesis presents a system that is designed to replace the manual process of generating a pronunciation dictionary for use in automatic speech recognition. The proposed system has several stages. The first stage segments the audio into what will be known as the subword units, using a frequency domain method. In the second stage, dynamic time warping is used to determine the similarity between the segments of each possible pair of these acoustic segments. These similarities a
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Černičko, Sergij. "Integrace hlasových technologií na mobilní platformy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236337.

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The goal of the thesis is being familiar with methods a techniques used in speech processing. Describe the current state of research and development of speech technology. Project and implement server speech recognizer that uses BSAPI. Integrate client that will use server for speech recognition to mobile dictionaries of Lingea company.
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Musil, Jakub. "Automatická tvorba slovníků z překladových textů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237245.

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Aim of this thesis is to implement system for translation words from source language into the target language with pair input texts. There are descriptions  of terms and methods used in machine translation and machine build dictionary. The thesis also contains a concept and specification of each part created system including final evaluation. There is analysed options which make extension of existing dictionatry.
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Barker, Emma J. "John Venn's Alumni Cantabrigienses : a case study of a biographical dictionary and the automated conversion of the printed text to a structured database format." Thesis, University of Sheffield, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251421.

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Veselý, Lukáš. "Korektor diakritiky." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2007. http://www.nusl.cz/ntk/nusl-236816.

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The goal of this diploma work is the suggestion and the implementation of the application, which allows adding / removing of diacritics into / from Czech written text. Retrieval "trie" structure is described along with its relation to finite state automata. Further, algorithm for minimization of finite state automata is described and various methods for adding diacritics are discussed. In practical part the implementation in Java programming language with usage of object-oriented approach is given. Achieved results are evaluated and analysed in the conclusion.
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Books on the topic "Automatic dictionary"

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Bodestedt, Olle. Dictionary, industrial automation and control. Studentlitteratur, 1993.

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ISA--The Instrumentation, Systems, and Automation Society., ed. The automation, systems, and instrumentation dictionary. 4th ed. ISA--The Instrumentation, Systems, and Automation Society, 2003.

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Karba, Rihard, Juš Kocijan, Tadej Bajd, Mojca Žagar Karer, and Gorazd Karer. Terminological Dictionary of Automatic Control, Systems and Robotics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35755-8.

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Valerie, Illingworth, Glaser Edward L, Pyle I. C. 1934-, Belot͡s︡kiĭ A. K та Maslovskiĭ E. K, ред. Tolkovyĭ slovarʹ po vychislitelʹnym sistemam. "Mashinostroenie", 1989.

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Heinrich, Bezner, ed. Fachwörterbuch Energie- und Automatisierungstechnik =: Dictionary of power engineering and automation. Siemens, 1986.

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1923-, Bezner Heinrich, and Siemens Aktiengesellschaft, eds. Fachwörterbuch Energie- und Automatisierungstechnik =: Dictionary of power engineering and automation. 2nd ed. Siemens Aktiengesellschaft, 1988.

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1923-, Bezner Heinrich, and Siemens Aktiengesellschaft, eds. Fachwörterbuch industrielle Elektrotechnik, Energie- und Automatisierungstechnik =: Dictionary of electrical engineering, power engineering and automation. 4th ed. Publicis MCD Verlag, 1998.

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Services, Industry Automation Translation. Wörterbuch Elektrotechnik, Energie- und Automatisierungstechnik =: Dictionary of electrical engineering, power engineering and automation. 6th ed. Publicis Pub., 2011.

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O, Carlson Don, ed. Automated builder: Dictionary/encyclopedia of industrialized housing. 3rd ed. Automated Builder Magazine, Publications Div., CMN Associates, 1995.

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O, Carlson Don, ed. Automated builder: Dictionary/encyclopedia of industrialized housing. Automated Builder Magazine, Publications Div., CMN Associates, 1991.

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Book chapters on the topic "Automatic dictionary"

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Weik, Martin H. "automatic." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1070.

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Song, Yang, Zhifei Zhang, Liu Liu, Alireza Rahimpour, and Hairong Qi. "Dictionary Reduction: Automatic Compact Dictionary Learning for Classification." In Computer Vision – ACCV 2016. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54181-5_20.

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Gooch, Jan W. "Automatic Control." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_914.

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Gooch, Jan W. "Automatic Press." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_915.

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Weik, Martin H. "automatic answering." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1072.

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Weik, Martin H. "automatic callback." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1074.

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Weik, Martin H. "automatic calling." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1076.

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Weik, Martin H. "automatic carriage." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1078.

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Weik, Martin H. "automatic check." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1080.

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Weik, Martin H. "automatic coding." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1081.

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Conference papers on the topic "Automatic dictionary"

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Liu, Fangting. "Term Dictionary Automatic Extraction Algorithm based on BiLSTM." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934268.

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Jeamsakul, Saharit, Papat Fungtammasan, and Teerapol Silawan. "Automated PMI-Based Custom Dictionary for Enhanced Thai Language Tokenization." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875915.

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Lu, Peng, Yi Liu, Yuying Mao, et al. "Structured Joint Sparse Discriminative Dictionary Learning for Image Classification." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865368.

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Bracewell, David B. "Semi-Automatic WordNet Based Emotion Dictionary Construction." In 2010 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2010. http://dx.doi.org/10.1109/icmla.2010.97.

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Xu, Chenchen, Dongxu Li, Hongdong Li, Hanna Suominen, and Ben Swift. "Automatic Gloss Dictionary for Sign Language Learners." In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.acl-demo.8.

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Toprak, Ahmet, and Metin Turan. "English Automatic Dictionary Creation with Natural Language Processing." In 2019 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2019. http://dx.doi.org/10.1109/asyu48272.2019.8946431.

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Schlippe, Tim, Matthias Merz, and Tanja Schultz. "Methods for efficient semi-automatic pronunciation dictionary bootstrapping." In Interspeech 2014. ISCA, 2014. http://dx.doi.org/10.21437/interspeech.2014-595.

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Quan, Changqin, Fuji Ren, Tingting He, and Po Hu. "Automatic construction of biomedical abbreviations dictionary from text." In 2008 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2008. http://dx.doi.org/10.1109/nlpke.2008.4906784.

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Khusainova, Albina, Vitaly Romanov, and Adil Khan. "Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output." In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-1068-1077.

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Modern encoder-decoder based neural machine translation (NMT) models are normally trained on parallel sentences. Hence, they give best results when translating full sentences rather than sentence parts. Thereby, the task of translating commonly used phrases, which often arises for language learners, is not addressed by NMT models. While for high-resourced language pairs human-built phrase dictionaries exist, less-resourced pairs do not have them. We suggest an approach for building such dictionary automatically based on the GIZA++ output and show that it works significantly better than transla
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Kulkarni, Ashish, Chetana Gavankar, Ganesh Ramakrishnan, and Sriram Raghavan. "Semi-automatic dictionary curation for domain-specific ontologies." In 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2013. http://dx.doi.org/10.1109/ictai.2013.112.

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