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Dissertations / Theses on the topic 'Using the dictionary'

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Published: 30 May 2022

Last updated: 31 July 2025

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1

Kaoutskis, Michael T. "Data compression using the dictionary approach algorithm." Thesis, Monterey, California. Naval Postgraduate School, 1990. http://hdl.handle.net/10945/30619.

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Approved for public release, distribution unlimited<br>Several data compression schemes have been investigated for reducing storage space and transfer time via a computer network. The primary goal of this thesis is to develop a new scheme for data compression ratio better than the already existing schemes. The main approach adopted by this research is a combination of dictionary look up and entropy source coding.

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Lescoat, Thibault. "Geometric operators for 3D modeling using dictionary-based shape representations." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT005.

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Dans cette thèse, nous étudions les représentations haut-niveau de formes 3D et nous développons les primitives algorithmiques nécessaires à la manipulation d'objets représentés par composition d'éléments. Nous commençons par une revue de l'état de l'art, des représentations bas-niveau usuelles jusqu'à celles haut-niveau, utilisant des dictionnaires. En particulier, nous nous intéressons à la représentation de formes via la composition discrète d'atomes tirés d'un dictionnaire de formes.Nous observons qu'il n'existe aucune méthode permettant de fusionner des atomes (placés sans intersection) d

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Seong, Seok-Won. "Dictionary-based code compression techniques using bit-masks for embedded systems." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0013980.

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Skuland, Magnus. "Identification of biomedical entities from Medline abstracts using a dictionary-based approach." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9242.

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<p>The aim of this paper was to develop a system for identification of biomedical entities, such as protein and gene names, from a corpora of Medline abstracts. Another aim was to manage to extract the most relevant terms from the set of identified biomedical terms and make them readily presentable for an end-user. The developed prototype, named iMasterThesis, uses a dictionary-based approach to the problem. A dictionary, consisting of 21K gene names and 425K protein names, was constructed in an automatic fashion. With the realization of the protein name dictionary as a multi-level tree struc

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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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Ouzir, Nora Leïla. "Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30149.

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Les maladies cardiovasculaires sont de nos jours un problème de santé majeur. L'amélioration des méthodes liées au diagnostic de ces maladies représente donc un réel enjeu en cardiologie. Le coeur étant un organe en perpétuel mouvement, l'analyse du mouvement cardiaque est un élément clé pour le diagnostic. Par conséquent, les méthodes dédiées à l'estimation du mouvement cardiaque à partir d'images médicales, plus particulièrement en échocardiographie, font l'objet de nombreux travaux de recherches. Cependant, plusieurs difficultés liées à la complexité du mouvement du coeur ainsi qu'à la qual

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Beckler, Matthew Layne. "On-Chip Diagnosis of Generalized Delay Failures using Compact Fault Dictionaries." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/906.

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Integrated Circuits (ICs) are an essential part of nearly every electronic device. From toys to appliances, spacecraft to power plants, modern society truly depends on the reliable operation of billions of ICs around the world. The steady shrinking of IC transistors over past decades has enabled drastic improvements in IC performance while reducing area and power consumption. However, with continued scaling of semiconductor fabrication processes, failure sources of many types are becoming more pronounced and are increasingly affecting system operation. Additionally, increasing variation during

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Wells, Stephanie Alice. "Vocabulary development in a grade 7 class using dictionary skills: an action research project." Thesis, Rhodes University, 2011. http://hdl.handle.net/10962/d1003708.

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As I was involved as a voluntary, part-time teacher in a local, semi-rural school in the Eastern Cape, South Africa, I became increasingly aware of the learners' lack of English literacy. I therefore decided to do a practical research on vocabulary development, focusing on dictionary skills. In this thesis I describe how I implemented a vocabulary development programme as an Action Research project. My research group was a grade 7 class of English First Additional Language learners who had minimal exposure to English at school and in their communities. The class was a mixture of Afrikaans and

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Shapoori, Shahrzad. "Detection of medial temporal brain discharges from EEG signals using joint source separation-dictionary learning." Thesis, University of Surrey, 2016. http://epubs.surrey.ac.uk/810211/.

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The pre-ictal epileptiform discharges can hardly be distinguished from the scalp Electroencephalogram (EEG). However, detecting them from the intracranial EEG is much easier. On the other hand, the drawback of using intracranial EEG is the invasive insertion of electrodes into the brain's tissue. Furthermore, for recording these signals patients have to be in hospital under anaesthesia. Conversely, scalp EEG can be recorded easily from normal people as well as patient awaiting surgery under much simpler circumstances. In this work the focus is on extraction of pre-ictal epileptiform discharges

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Hall, Abraham. "Using Freebase, an Automatically Generated Dictionary, and a Classifier to Identify a Person's Profession in Tweets." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5788.

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Algorithms for classifying pre-tagged person entities in tweets into one of eight profession categories are presented. A classifier using a semi-supervised learning algorithm that takes into consideration the local context surrounding the entity in the tweet, hash tag information, and topic signature scores is described. In addition to the classifier, this research investigates two dictionaries containing the professions of persons. These two dictionaries are used in their own classification algorithms which are independent of the classifier. The method for creating the first dictionary dynami

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Giovanneschi, Fabio [Verfasser], and Joachim H. G. [Gutachter] Ender. "Online dictionary learning for classification of antipersonnel landmines using ground penetrating radar / Fabio Giovanneschi ; Gutachter: Joachim Ender." Siegen : Universitätsbibliothek der Universität Siegen, 2020. http://d-nb.info/1217845003/34.

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Giovanneschi, Fabio [Verfasser], and Joachim [Gutachter] Ender. "Online dictionary learning for classification of antipersonnel landmines using ground penetrating radar / Fabio Giovanneschi ; Gutachter: Joachim Ender." Siegen : Universitätsbibliothek der Universität Siegen, 2020. http://d-nb.info/1217845003/34.

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Huss, Joar. "Optimizing the slag system for phosphorus removal in a DRI-based EAF-process using the dictionary attack method." Thesis, KTH, Materialvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229743.

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Abstract Carbon emissions pose a serious threat to the continued survival of this planet. All sectors of society must, therefore, lower their emissions, this includes the steel industry. The production of steel is based on iron ore reduction by carbon. In an attempt to relieve the steel industry from its inherent fossil dependence an initiative called HYBRIT has been started. It aims to supplant carbon reduction with hydrogen reduction. Currently, there is no economically viable industrial production of steel that uses fossil-free hydrogen as reduction agent. In order to create economic viabil

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Wheeler, Ryan. "BlindCanSeeQL: Improved Blind SQL Injection For DB Schema Discovery Using A Predictive Dictionary From Web Scraped Word Based Lists." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/6050.

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SQL Injections are still a prominent threat on the web. Using a custom built tool, BlindCanSeeQL (BCSQL), we will explore how to automate Blind SQL attacks to discover database schema using fewer requests than the standard methods, thus helping avoid detection from overloading a server with hits. This tool uses a web crawler to discover keywords that assist with autocompleting schema object names, along with improvements in ASCII bisection to lower the number of requests sent to the server. Along with this tool, we will discuss ways to prevent and protect against such attacks.

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Денисенко, Наталія Григорівна, and Nataliia Denysenko. "Features of the use of dictionary by students of non-language specialties in the process of foreign language teaching." Thesis, Національний авіаційний університет, 2019. http://er.nau.edu.ua/handle/NAU/39046.

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A foreign language is almost the only subject, the study of which cannot be imagined without the use of dictionaries. Widespread involvement of dictionaries, in which the greatest concentration of information about the word is concentrated, is one of the conditions for actualization of cognitive and communicative needs of students. Foreign language has an extraordinary integration with other branches of knowledge, and dictionaries are a necessary means of learning that supports the trend of rapid updating and dissemination of information. The results of the analysis of programs, textbooks, met

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Sarkar, Subrata. "Solving Linear and Bilinear Inverse Problems using Approximate Message Passing Methods." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595529156778986.

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Koo, Kyosung. "Effects of using corpora and online reference tools on foreign language writing: a study of Korean learners of English as a second language." Diss., University of Iowa, 2006. https://ir.uiowa.edu/etd/65.

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The general aim of this study is to better understand aspects of using reference tools for writing and to identify technologies that can assist foreign language writers. The specific purpose of this study is to look closely at how English as a Second Language (ESL) students from Korea use a corpus as a reference tool in conjunction with dictionaries when paraphrasing English newspaper articles. The participants were Korean graduate students with advanced English proficiency (N=10). Their task was to paraphrase an English newspaper article. The results show that

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Mohammadiha, Nasser. "Speech Enhancement Using Nonnegative MatrixFactorization and Hidden Markov Models." Doctoral thesis, KTH, Kommunikationsteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-124642.

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Reducing interference noise in a noisy speech recording has been a challenging task for many years yet has a variety of applications, for example, in handsfree mobile communications, in speech recognition, and in hearing aids. Traditional single-channel noise reduction schemes, such as Wiener filtering, do not work satisfactorily in the presence of non-stationary background noise. Alternatively, supervised approaches, where the noise type is known in advance, lead to higher-quality enhanced speech signals. This dissertation proposes supervised and unsupervised single-channel noise reduction al

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Tadisetty, Srikanth. "Prediction of Psychosis Using Big Web Data in the United States." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1532962079970169.

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Wang, Tsan-Wei, and 王贊維. "Performance Enhancement for Dictionary-Based Image Super-resolution Using Dictionary Clustering." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/05257095795952879041.

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碩士<br>國立清華大學<br>電機工程學系<br>99<br>Super-resolution reconstruction is the problem that we want to change the scale low-resolution images and videos to high-resolution. Frankly speaking, the main problem of super-resolution is eliminating the blurring effect like the motion blur, sampling errors, and noisy signal, etc. There are many ways to enhance the image resolution. One of the new algorithms is sparse coding algorithm which is the compressed sensing method and denoised the image reconstruction at first [2]. Since the sparse representation can represent the image patches well from the previous

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Ivanova, Angelina. "Creating a Bilingual Dictionary using Wikipedia." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-313905.

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Title: Creating a Bilingual Dictionary using Wikipedia Author: Angelina Ivanova Department/Institute: Institute of Formal and Applied Linguistics (32-ÚFAL) Supervisor of the master thesis: RNDr. Daniel Zeman Ph.D. Abstract: Machine-readable dictionaries play important role in the research area of com- putational linguistics. They gained popularity in such fields as machine translation and cross-language information extraction. In this thesis we investigate the quality and content of bilingual English-Russian dictionaries generated from Wikipedia link structure. Wiki-dictionaries differ dramati

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Chen, Po-Chih. "A Perceptual Dictionary using Image Search." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0020-1807200711051300.

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CHEN, PO-CHIH, and 陳柏志. "A Perceptual Dictionary using Image Search." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/98469771349971697327.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>95<br>In language learning, vocabulary acquisition is basic and dominates the efficiency of the language learning. The most efficient way to increase the vocabulary is through reading which can help learner to assimilate large amounts of words. However, how does a learner understand an unfamiliar word while in reading? Traditional way is to consult a dictionary to get the meaning and then recite it frequently. The monotonous way is not very efficient. Hence, many researchers develop different methods to help users on vocabulary acquisition. The purpose of this thesi

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Chen, Po-Hao, and 陳柏豪. "Multiple Defect Physical-aware Diagnosis using Novel Dictionary." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/30984727084789246693.

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碩士<br>國立臺灣大學<br>電子工程學研究所<br>103<br>This thesis presents a physical-aware diagnosis technique for failing dies with multiple defects using novel dictionary. Our diagnosis technique considers fault masking/reinforcement and Byzantine effects simultaneously. We identify sections that involved in a defect as the smallest diagnosis unit. Then, we propose section to physical site mapping technique to find culprit defects. Simulations on ISCAS’89 and ITC’99 benchmark circuits with multiple open-via defects demonstrate the effectiveness of our diagnosis technique. The accuracy is higher than comm

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Wu, Hui-Hsin, and 吳蕙欣. "Sentiment Analysis Using Multi-dictionary and Commonsense Knowledgebase." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/91079527823369231342.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>99<br>This thesis presents a new approach to language independent sentiment analysis that combines multi-dictionary and commonsense knowledgebase. Sentiment analysis is the task of identifying positive and negative opinions, emotions, and evaluations. One major impediment to Non-English sentiment analysis research is the lack of a complete sentiment dictionary. In light of this, we collected nine kinds of sentiment dictionaries as sentiment concept seed, then through sentiment spreading activation from common sense network (ConceptNet) to get more sentiment concept

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LaiLi-Chuan and 賴立釧. "The design for electronic dictionary using speech recognition technology." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/52051448056455741184.

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碩士<br>崑山科技大學<br>電機工程研究所<br>93<br>In this dissertation, hidden Markov models and Viterbi algorithm are the major tools for speech recognition research to develop a simulation system of English-Chinese electronic dictionary. First, the speech signal is pre-processed to extract the speech characteristic coefficients through the following steps including cepstral coefficient and differential cepstral coefficient. Furthermore, the hidden Markov models and Viterbi algorithm are proposed to train the vocal models and perform the recognition task. In speech signal, end-point detection process is ca

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Cheng, Fei-Huang, and 程飛凰. "Unsupervised Word Sense Disambiguation Using WordNet Definition and Bilingual Dictionary." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/75514058035753453811.

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碩士<br>國立清華大學<br>資訊工程學系<br>90<br>Word sense disambiguation is an important and difficult problem in the field of natural language processing. A sense tagged corpus is often used as training data in word sense disambiguation research. But constructing a sense tagged corpus is very time consuming. This paper presents an unsupervised word sense disambiguation approach using WordNet definition and bilingual dictionary. We extract collocations as features to disambiguate word sense. The experiment uses bilingual sentences in the LDOCE as training data and Brown corpus as testing data. We

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Lee, Yen-Lung, and 李儼倫. "Dictionary-based news category classification : using sports news as example." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/f6g5au.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>104<br>Rapid and vigorous development of information network technology has resulted in the largest data repository. Collecting relevant information in such a large body of data is rather difficult for any user. This paper is aimed to help users to grasp key information in a short period of time. We observe that term frequency in a article can be used as keyword for that article. Article theme can be easily grasped based on these keywords. Therefore, users can find the information they want through keyword and significantly reduce unnecessary search time. Proper wor

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Wu, Yi-Ting, and 吳伊婷. "Fast Diffusion Spectrum MRI Technology using Dictionary-based Compressive Sensing." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/73249856285547040729.

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碩士<br>國立交通大學<br>生醫工程研究所<br>103<br>Diffusion Spectrum Imaging (DSI) is one of the diffusion MRI techniques and has the highest accuracy of resolving complex fiber orientations in human brain. However, due to the large data sampling and resulting long scan time, its clinical feasibility has not been verified yet on clinical MRI applications. To reduce the data sampling and accelerate the scan time, a signal processing approach is highly needed without any additional cost of hardware improvement. Compressive Sensing (CS) technique can moderate huge data information well based on the theor

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Hu, Hsi-Chih, and 胡曦之. "Using Dictionary Learning and Sparse Coding on Driving Behavior Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/13807030493105033493.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>104<br>Traffic safety has been an important issue for a long time. Most of the traffic accident are happened because of the aggressive driving behavior. For insurance company, understanding the driver's behavior is more appropriate to define the insurance instead of making decisions based on vehicle and driver characteristics. To define the behavior for drivers, we need to classify the trip data for different driver. In this research, we focus on two things. First one is learning the sequential data and generate appropriate features by dictionary learning and s

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Chen, Jui-Hung, and 陳瑞鴻. "A study of affecting factors of using English-Chinese E-dictionary APP - A Case Study of an E-dictionary APP." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/z6h3pj.

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碩士<br>銘傳大學<br>資訊管理學系碩士在職專班<br>103<br>Due to the rapid development of mobile devices, resulting in the English-Chinese E-dictionary market shrinking rapidly. Manufacturers transfer their investment to smart mobile device market, and actively develop the English-Chinese E-dictionary APP. The English-Chinese E-dictionary APP usage, has been the focus of manufacturers. The main purpose of this study is to get the real application needs of the users for E-dictionary APP. In this study, through relevant research investigation and users operations on the APP, the factors that influence consumer appli

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Chung, Chuan-Hsiung, and 鍾傳雄. "On-line Multi-target Tracking Using Sparse Representation with Dictionary Learning." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/07453210812049904112.

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碩士<br>國立高雄應用科技大學<br>資訊工程系<br>103<br>Object tracking is classified into two types: single-object tracking and multiple-object tracking. In multiple object tracking the main task is to distinguish and position identified object and track their trajectories. Different objects have different forms, for example, pedestrians on a street, sports personnel in action, and moving cars and animals. However, the appearances of object are high variability caused by illumination changes, long occlusion, and background clutter. Furthermore, there are similarities in the appearances of various objects. Hence,

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HUANG, ZIH-YUAN, and 黃子源. "Using Appositional Term Dictionary to implement analyzing tool of search results." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/twnw3a.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>107<br>The collection of knowledge is important and very meaningful, such as OEIS, Wikipedia, etc. There are so many examples of knowledge collections. We will implement a dictionary with the set of term collocations, which we call the Appositional Term Dictionary(ATD). The ATD has an uploading platform and will record the data contributors on the website. With the large lexicon and uploading platform of the ATD, we try to implement a new search result analysis tool. In the past, the search result analysis tools only used the name, place, and objects to classify the

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Sarat, Cyhandra Babu N. "Efficient techniques for fault diagnosis of analog circuits using dictionary approach." Thesis, 1997. http://localhost:8080/xmlui/handle/12345678/5525.

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Fischer, Aaron, and 費亞倫. "An Experiment in Using an Asynchronous Dictionary to Support Foreign Language Learning." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/56302752344107988594.

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碩士<br>國立中興大學<br>科技管理研究所<br>98<br>Dictionaries came into existence not much longer after written word, and all dictionaries thereafter, paper or electronic alike, are all used in the same fashion. Whether being used for foreign language learning or comprehension in one’s native tongue, words are looked up one at a time. Due to the nature of dictionaries, users have been bound by these limitations, that is, until the asynchronous dictionary was conceived. This paper examines a new, innovative method for looking up words found in e-texts, and the results demonstrate that when compared to traditio

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Ding, Shao-Hong, and 丁少弘. "PNRS - Protein Name Recognition System Using Dictionary-Based Pattern Search and Mining." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/81477598593461842402.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>96<br>Recognizing biological named entities is an important task while automatically extracting biological information like proteins and genes from biomedical literature. We propose a novel method that integrates dictionary, heuristics and data mining approaches to effectively recognize protein names from literature. According to the protein name dictionary and heuristic rules published in related papers, core tokens of a protein name can be efficiently detected. However, the exact boundary of the protein name is hard to be identified. By regarding tokens of a prote

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Wu, Chi-En, and 吳季恩. "Enhancing ConceptNet-based Sentiment Dictionary using Active Learning with Maximal-impact Strategy." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/11201100985465944288.

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碩士<br>國立臺灣大學<br>資訊網路與多媒體研究所<br>102<br>Sentiment analysis aims to analyze the sentiments behind natural language text. Most sentiment analysis methods rely on sentiment dictionaries to identify sentiments in text. Our previous work proposed a ConceptNet-based semi-supervised approach, which propagated sentiment values from seed concepts to other concepts in ConceptNet. However, the seed concepts are insufficient to propagate sentiment values in a larger graph, and collecting large numbers of annotated seed concepts can be expensive. In this work, we refine our previous method by adding an activ

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Ding, Shao-Hong. "PNRS - Protein Name Recognition System Using Dictionary-Based Pattern Search and Mining." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0020-3007200818212700.

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JI, ZHEN-HUAN, and 季震寰. "A phonetic input system for chinese characters using a word dictionary and statistics." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/62868356868152233696.

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Ouzir, Nora. "Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning." Thesis, 2018. http://www.theses.fr/2018TOU30149/document.

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Les maladies cardiovasculaires sont de nos jours un problème de santé majeur. L'amélioration des méthodes liées au diagnostic de ces maladies représente donc un réel enjeu en cardiologie. Le coeur étant un organe en perpétuel mouvement, l'analyse du mouvement cardiaque est un élément clé pour le diagnostic. Par conséquent, les méthodes dédiées à l'estimation du mouvement cardiaque à partir d'images médicales, plus particulièrement en échocardiographie, font l'objet de nombreux travaux de recherches. Cependant, plusieurs difficultés liées à la complexité du mouvement du coeur ainsi qu'à la qual

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Lin, Chien-an, and 林建安. "On the simplification of multi-focus image fusion using dictionary-based sparse representation." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5441025%22.&searchmode=basic.

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碩士<br>國立中興大學<br>電機工程學系所<br>107<br>This paper proposes a fast implementation for multi-focus image fusion using dictionary-based sparse representation. The proposed method reduces the computation complexity of the existing method by synthesizing feature signals from the trained sparse coefficient feature vectors in order to classify each pixel in a source image as focused or defocused, Since the computation of the OMP algorithm for sparse coefficient the exist method complexity of the proposed method can be only 1/100 of [1]. Simulation results further demonstrate that the fused image of the pr

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Hsueh, Yu-Jen, and 薛昱仁. "A Study of Using NetFlow Traffic Data to Detect and Track SSH Dictionary Attack." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/06556425740792050670.

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碩士<br>國立高雄大學<br>亞太工商管理學系碩士班<br>97<br>With the rapid growth of technology, there are many applications system needs to authenticate in the Internet environment. User account and password is a simply and general way for authentication in network. The dictionary attack means that attackers attempt to login some user accounts illegally by trying all possible password. There are a lot of login failed SSH service login records in the system authentication logs file, that become a usually situation on the Taiwan Academic Network environment. It implies that dictionary attack is a serious intrusive ev

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Chiu, Chun-Hui, and 邱純慧. "A Study of Chinese Dictionary Evaluation Criteria for Elementary School Teachers Using Analytic Hierarchy Process." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/13095982481025949188.

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碩士<br>育達商業科技大學<br>資訊管理所<br>101<br>Dictionaries are important reference books for language learners. The characteristics of a good dictionary include: making word search easy and quick, containing rich content, and being practical and generalizable. If users are familiar with how to use a dictionary, they can develop their problem-solving ability and also improve their learning effectiveness in the Chinese language domain. The purpose of this study was to find the Chinese dictionary evaluation and selection criteria for elementary school teachers. By applying analytic hierarchy process (AHP), t

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Tian, Ke. "International students’ experiences of using online resources for academic writing." Thesis, 2016. http://hdl.handle.net/1828/7680.

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This qualitative descriptive case study investigates four Chinese international students’ use of online resources for academic writing in a western Canadian university. This study has direct implications for English as a Foreign Language/English as a Second Language writing instruction as well as international students’ use of university library. Methodological triangulation was used to collect data. This included a semi-structured interview, a computer-based writing task, and a think-aloud activity. Data was coded and analyzed within cases and re-analyzed across the four cases. The sali

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Kumar, Abhishek. "Panic Detection in Human Crowds using Sparse Coding." Thesis, 2012. http://hdl.handle.net/10012/6909.

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Recently, the surveillance of human activities has drawn a lot of attention from the research community and the camera based surveillance is being tried with the aid of computers. Cameras are being used extensively for surveilling human activities; however, placing cameras and transmitting visual data is not the end of a surveillance system. Surveillance needs to detect abnormal or unwanted activities. Such abnormal activities are very infrequent as compared to regular activities. At present, surveillance is done manually, where the job of operators is to watch a set of surveillance video scre

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Ravindra, G. "Information Theoretic Approach To Extractive Text Summarization." Thesis, 2006. https://etd.iisc.ac.in/handle/2005/452.

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Automatic text summarization techniques, which can reduce a source text to a summary text by content generalization or selection have assumed signifi- cance in recent times due to the ever expanding information explosion created by the World Wide Web. Summaries generated by generalization of information are called abstracts and those generated by selection of portions of text (sentences, phrases etc.) are called extracts. Further, summaries could for each document separately or multiple documents could be summarized together to produce a single summary. The challenges in making machines genera

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Ravindra, G. "Information Theoretic Approach To Extractive Text Summarization." Thesis, 2006. http://hdl.handle.net/2005/452.

Full text

Abstract:

Automatic text summarization techniques, which can reduce a source text to a summary text by content generalization or selection have assumed signifi- cance in recent times due to the ever expanding information explosion created by the World Wide Web. Summaries generated by generalization of information are called abstracts and those generated by selection of portions of text (sentences, phrases etc.) are called extracts. Further, summaries could for each document separately or multiple documents could be summarized together to produce a single summary. The challenges in making machines genera

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