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Dissertations / Theses on the topic 'Dictionary of the computer slang'

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Published: 4 June 2021

Last updated: 15 February 2022

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1

Spitkovsky, Valentin I. (Valentin Ilyich) 1977. "A fast genomic dictionary." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86505.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (p. 252-254).<br>by Valentin I. Spitkovsky.<br>S.B.and M.Eng.

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2

Lee, Ka-hing, and 李家興. "The dictionary problem: theory andpractice." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31234963.

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3

Hoffman, Beth Huhn. "Creating a data dictionary from a requirements specification." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9850.

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Lee, Ka-hing. "The dictionary problem : theory and practice /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19667085.

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Tam, Siu-lung. "Linear-size indexes for approximate pattern matching and dictionary matching." Click to view the E-thesis via HKUTO, 2010. http://sunzi.lib.hku.hk/hkuto/record/B44205326.

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Tam, Siu-lung, and 譚小龍. "Linear-size indexes for approximate pattern matching and dictionary matching." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44205326.

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7

Lee, Francis Hyeongwoo. "A web-based universal encyclopedia/dictionary." CSUSB ScholarWorks, 1998. https://scholarworks.lib.csusb.edu/etd-project/1812.

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Tikkireddy, Lakshmi Venkata Sai Sri. "Dictionary-based Compression Algorithms in Mobile Packet Core." Thesis, Blekinge Tekniska Högskola, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18813.

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With the rapid growth in technology, the amount of data to be transmitted and stored is increasing. The efficiency of information retrieval and storage has become a major drawback, thereby the concept of data compression has come into the picture. Data compression is a technique that effectively reduces the size of the data to save storage and speed up the transmission of the data from one place to another. Data compression is present in various formats and mainly categorized into lossy compression and lossless compression where lossless compression is often used to compress the data. In Erics

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9

Al-Hafez, Muhammad Yassin. "A semantic knowledge-based computational dictionary for support of natural language processing systems." Thesis, Cranfield University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385765.

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10

Salberg, Randall N. "The systems resource dictionary : a synergism of artificial intelligence, database management and software engineering methodologies." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9877.

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11

Bhave, Sampada Vasant. "Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/2182.

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The clinical utility of multi-dimensional MRI applications like multi-parameter mapping and 3D dynamic lung imaging is limited by long acquisition times. Quantification of multiple tissue MRI parameters has been shown to be useful for early detection and diagnosis of various neurological diseases and psychiatric disorders. They also provide useful information about disease progression and treatment efficacy. Dynamic lung imaging enables the diagnosis of abnormalities in respiratory mechanics in dyspnea and regional lung function in pulmonary diseases like chronic obstructive pulmonary disease

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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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Lam, Jacqueline Kam-mei. "A study of semi-technical vocabulary in computer science texts with special reference to ESP teaching and lexicography." Thesis, University of Exeter, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326882.

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14

Byrne, Bernadette M. "A longitudinal study of the diffusion of the ISO/IEC information resource dictionary system standard (IRDS.)." Thesis, Aston University, 2001. http://publications.aston.ac.uk/10610/.

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The IRDS standard is an international standard produced by the International Organisation for Standardisation (ISO). In this work the process for producing standards in formal standards organisations, for example the ISO, and in more informal bodies, for example the Object Management Group (OMG), is examined. This thesis examines previous models and classifications of standards. The previous models and classifications are then combined to produce a new classification. The IRDS standard is then placed in a class in the new model as a reference anticipatory standard. Anticipatory standards are s

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Pound, Andrew E. "Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/4020.

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Hyperspectral imaging (HSI) produces spatial images with pixels that, instead of consisting of three colors, consist of hundreds of spectral measurements. Because there are so many measurements for each pixel, analysis of HSI is difficult. Frequently, standard techniques are used to help make analysis more tractable by representing the HSI data in a different manner. This research explores the utility of representing the HSI data in a learned dictionary basis for the express purpose of material identification and classification. Multiclass classification is performed on the transformed data us

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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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Dilenschneider, Robert. "Investigating the Use of a Computer Thesaurus and an On-line Dictionary for Unknown Words in Texts." Diss., Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/334785.

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Teaching & Learning<br>Ed.D.<br>Two studies were conducted to explore the feasibility of adapting reading passages by means of a computer thesaurus and an on-line dictionary. In Study 1, the Computer Thesaurus Study, three word replacement conditions to replace the marked mid- and low-frequency words of a reading passage were compared. Each condition’s performance for the proportion of marked words that could be replaced, the word frequency levels of the submitted synonyms that replaced the marked words, and the time duration needed to replace the marked words was examined. The participants we

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Sjöstrand, Mattias Håkansson. "En studie i komprimeringsalgoritmer." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2971.

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Compression algorithms can be used everywhere. For example, when you look at a DVD movie a lossy algorithm is used, both for picture and sound. If you want to do a backup of your data, you might be using a lossless algorithm. This thesis will explain how many of the more common lossless compression algorithms work. During the work of this thesis I also developed a new lossless compression algorithm. I compared this new algorithm to the more common algorithms by testing it on five different types of files. The result that I got was that the new algorithm was comparable to the other algorithms w

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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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Mairal, Julien. "Sparse coding for machine learning, image processing and computer vision." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2010. http://tel.archives-ouvertes.fr/tel-00595312.

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We study in this thesis a particular machine learning approach to represent signals that that consists of modelling data as linear combinations of a few elements from a learned dictionary. It can be viewed as an extension of the classical wavelet framework, whose goal is to design such dictionaries (often orthonormal basis) that are adapted to natural signals. An important success of dictionary learning methods has been their ability to model natural image patches and the performance of image denoising algorithms that it has yielded. We address several open questions related to this framework:

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Mårtensson, Christian. "Managing language learning data in mobile apps." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-81078.

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On the journey of learning a language we are exposed to countless words that are easily forgotten and subsequently difficult to find again. This study investigates how to design a personal data management system that enables its users to efficiently organize, find and input the words and phrases that they encounter on their journey. Using DSRM, an artifact was iteratively developed and tested in usability tests and interviews by a total of 10 participants. The feedback from the respondents indicates a strong demand for this type of app and also uncovered design knowledge in this new context. T

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Kipfer-Westerlund, B. A. "Towards the onomasiological dictionary : The use of the computer in providing diversified access as exemplified by an electronic lexicon of baby and child-care concepts." Thesis, University of Exeter, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234553.

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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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McClanahan, Peter J. "A Probabilistic Morphological Analyzer for Syriac." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2200.

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We show that a carefully crafted probabilistic morphological analyzer significantly outperforms a reasonable, naive baseline for Syriac. Syriac is an under-resourced Semitic language for which there are no available language tools such as morphological analyzers. Such tools are widely used to contribute to the process of annotating morphologically complex languages. We introduce and connect novel data-driven models for segmentation, dictionary linkage, and morphological tagging in a joint pipeline to create a probabilistic morphological analyzer requiring only labeled data. We explore the perf

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Horskainen, Arvi. "Kamusi ya Kiswahili sanifu in test:: A computer system for analyzing dictionaries and for retrieving lexical data." Swahili Forum; 1 (1994), S. 169-179, 1994. https://ul.qucosa.de/id/qucosa%3A10567.

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The paper describes a computer system for testing the coherence and adequacy of dictionaries. The system suits also well for retiieving lexical material in context from computerized text archives Results are presented from a series of tests made with Kamusi ya Kiswahlli Sanifu (KKS), a monolingual Swahili dictionary.. The test of the intemal coherence of KKS shows that the text itself contains several hundreds of such words, for which there is no entry in the dictionary. Examples and frequency numbers of the most often occurring words are given The adequacy of KKS was also tested with a corpus

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Gustafsson, Jessica. "Lärande bildlexikon : Ett interaktivt sätt att lära sig." Thesis, University of Kalmar, School of Communication and Design, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2121.

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<p>Ett bildlexikon ger en bildlig stimulans och gör lärande till en interaktiv lek. Men bildlexikon är inte enbart för barn, de skapas även för ungdomar och vuxna. De kan berätta historier och sagor på ett underhållande sätt, även återge historia. Deras syfte bestäms enbart av deras skapare. Det denna rapport handlar om är skapandet av ett bildlexikon. Syftet med detta lexikon är att utbilda yngre människor inom ämnet vardag, allt som man kan komma att stöta på inom vardagen finns i detta lexikon. Det företag som står för detta bildlexikon är Euroway Media Business AB, de har länge jobbat med

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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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Liang, Hsuan Lorraine. "Spell checkers and correctors : a unified treatment." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-06252009-163007/.

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Al-Olimat, Hussein S. "Knowledge-Enabled Entity Extraction." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1578100367105233.

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Black, Kevin P. "Interactive Machine Assistance: A Case Study in Linking Corpora and Dictionaries." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5620.

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Machine learning can provide assistance to humans in making decisions, including linguistic decisions such as determining the part of speech of a word. Supervised machine learning methods derive patterns indicative of possible labels (decisions) from annotated example data. For many problems, including most language analysis problems, acquiring annotated data requires human annotators who are trained to understand the problem and to disambiguate among multiple possible labels. Hence, the availability of experts can limit the scope and quantity of annotated data. Machine-learned pre-annotation

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Ahmed, Olfet, and Nawar Saman. "Utvärdering av nätverkssäkerheten på J Bil AB." Thesis, KTH, Data- och elektroteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123403.

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Detta examensarbete är en utvärdering av nätverkssäkerheten hos J BiL AB, både på social och teknisk nivå. Företaget är beroende av säkra Internet-anslutningar för att nå externa tjänster och interna servrar lokaliserade på olika geografiska platser. Företaget har ingen IT-ansvarig som aktivt underhåller och övervakar nätverket, utan konsulterar ett externt dataföretag. Syftet med examensarbetet är att utvärdera säkerheten, upptäcka brister, ge förbättringsförslag och till viss del implementera lösningar. För att undersöka säkerheten har observationer och intervjuer med personalen gjorts och e

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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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Alesand, Elias, and Hanna Sterneling. "A shoulder-surfing resistant graphical password system." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138163.

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The focus of this report is to discuss graphical password systems and how they can contribute to handle security problems that threaten authentication processes. One such threat is shoulder-surfing attacks, which are also reviewed in this report. Three already existing systems that are claimed to be shoulder-surfing resilient are described and a new proposed system is presented and evaluated through a user study. Moreover, the system is compared to the mentioned existing systems to further evaluate the usability, memorability and the time it takes to authenticate. The user study shows that tes

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SIXTOVÁ, Jana. "Komunikace ve sféře výpočetní techniky." Master's thesis, 2009. http://www.nusl.cz/ntk/nusl-52466.

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Annotation This diploma thesis deals with a communication used within information technologies, especially within computer slang. The theoretical part of this work is dedicated to the term `slang{\crq} and its position within the structure of the national language. It presents different definitions of slang and the opinions of linguists on defining this term. Diploma thesis also describes the linguistic and non-linguistic aspects of slang. The second part of the work sets out commentary on the history of information technologies and it also introduces an overview of the written sources concern

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Sarraf, Ramin. "Designing a Persian slang dictionary." 2008. http://hdl.handle.net/2152/18371.

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In the highly developed field of Persian-English lexicography a major gap exists in the area of colloquial, slang, and argot in Persian. To date, no Persian-English Dictionary of Persian colloquial slang, or argot language exists. This study fills this gap. The dissertation proper tells the story of the process and the fully covered /vāv/ section treats current slang and argot headwords and phrases including slang and secret languages of smugglers, drug dealers, prison inmates, the military and the teenagers. The dictionary which will be referred to as The Persian-English Dictionary of Slang (

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Jirásková, Tereza. "Vodácký slang." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-325536.

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Resumé My diploma thesis focuses on the slang of watermen. Slang is considered as a non-literary layer of national language, containing specific words that are used in common, especially informal, communication of people who share the same occupations or interests. The first part introduces the theoretical definitions of slang by prominent Czech linguists and the second part describes the aspects of slang. The third part gives us the characteristic of waterman slang from more points of view - setting, specific activity and collectivity. The fourth part focuses on the creation of words in water

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Djordjevic, Dragana. "A Critical Study of John Camden Hotten and The Slang Dictionary." Thesis, 2010. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7977.

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Many lexicographers found some words unsuitable for inclusion in their dictionaries, thus the examination of general purpose dictionaries alone will not give us a faithful history of changes of the language. Nevertheless, by taking into account cant and slang dictionaries, the origins and history of such marginalized language can be truly examined. Despite people's natural fascination with these works, the early slang dictionaries have received relatively little scholarly attention, the later ones even less. This dissertation is written to honor those lexicographers who succeeded in a truthful

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Jabbarzadeh, Gangeh Mehrdad. "Kernelized Supervised Dictionary Learning." Thesis, 2013. http://hdl.handle.net/10012/7455.

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The representation of a signal using a learned dictionary instead of predefined operators, such as wavelets, has led to state-of-the-art results in various applications such as denoising, texture analysis, and face recognition. The area of dictionary learning is closely associated with sparse representation, which means that the signal is represented using few atoms in the dictionary. Despite recent advances in the computation of a dictionary using fast algorithms such as K-SVD, online learning, and cyclic coordinate descent, which make the computation of a dictionary from millions of data sam

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Ballesteros, Lisa Ann. "Resolving ambiguity for cross -language information retrieval: A dictionary approach." 2001. https://scholarworks.umass.edu/dissertations/AAI3027176.

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The global exchange of information has been facilitated by the rapid expansion in the size and use of the Internet, which has led to a large increase in the availability of on-line texts. Expanded international collaboration, the increase in the availability of electronic foreign language texts, the growing number of non-English-speaking users, and the lack of a common language of discourse compels us to develop cross-language information retrieval (CLIR) tools capable of bridging the language barrier. Cross-language retrieval bridges this gap by enabling a person to search in one language and

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Wilson, Loren. "A data dictionary for the INGRES data base management system." 1986. http://hdl.handle.net/2097/22179.

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Zhou, Mingyuan. "Nonparametric Bayesian Dictionary Learning and Count and Mixture Modeling." Diss., 2013. http://hdl.handle.net/10161/7204.

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<p>Analyzing the ever-increasing data of unprecedented scale, dimensionality, diversity, and complexity poses considerable challenges to conventional approaches of statistical modeling. Bayesian nonparametrics constitute a promising research direction, in that such techniques can fit the data with a model that can grow with complexity to match the data. In this dissertation we consider nonparametric Bayesian modeling with completely random measures, a family of pure-jump stochastic processes with nonnegative increments. In particular, we study dictionary learning for sparse image representatio

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"Sparse Methods in Image Understanding and Computer Vision." Doctoral diss., 2013. http://hdl.handle.net/2286/R.I.17719.

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abstract: Image understanding has been playing an increasingly crucial role in vision applications. Sparse models form an important component in image understanding, since the statistics of natural images reveal the presence of sparse structure. Sparse methods lead to parsimonious models, in addition to being efficient for large scale learning. In sparse modeling, data is represented as a sparse linear combination of atoms from a "dictionary" matrix. This dissertation focuses on understanding different aspects of sparse learning, thereby enhancing the use of sparse methods by incorporating too

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Almeida, David Moreira de. "Face recognition via sparse representation." Master's thesis, 2019. http://hdl.handle.net/10773/29465.

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Face recognition has recently seen a peek in interest due to developments in deep learning. These developments incited great attention to the fi eld, not only from the research community, but also from a commercial perspective. While such methods provide the best accuracies when performing face recognition tasks, they often require millions of face images, a substantial amount of processing power and a considerable amount of time to develop. In the recent years, sparse representations have been successfully applied to a number of computer vision applications. One of those applications

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"Semantic Sparse Learning in Images and Videos." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.25183.

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abstract: Many learning models have been proposed for various tasks in visual computing. Popular examples include hidden Markov models and support vector machines. Recently, sparse-representation-based learning methods have attracted a lot of attention in the computer vision field, largely because of their impressive performance in many applications. In the literature, many of such sparse learning methods focus on designing or application of some learning techniques for certain feature space without much explicit consideration on possible interaction between the underlying semantics of the vis

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"Scaling Up Large-scale Sparse Learning and Its Application to Medical Imaging." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.44043.

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abstract: Large-scale $\ell_1$-regularized loss minimization problems arise in high-dimensional applications such as compressed sensing and high-dimensional supervised learning, including classification and regression problems. In many applications, it remains challenging to apply the sparse learning model to large-scale problems that have massive data samples with high-dimensional features. One popular and promising strategy is to scaling up the optimization problem in parallel. Parallel solvers run multiple cores on a shared memory system or a distributed environment to speed up the computat

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Li, Lingbo. "Nonparametric Bayesian Models for Joint Analysis of Imagery and Text." Diss., 2014. http://hdl.handle.net/10161/8675.

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<p>It has been increasingly important to develop statistical models to manage large-scale high-dimensional image data. This thesis presents novel hierarchical nonparametric Bayesian models for joint analysis of imagery and text. This thesis consists two main parts.</p><p>The first part is based on single image processing. We first present a spatially dependent model for simultaneous image segmentation and interpretation. Given a corrupted image, by imposing spatial inter-relationships within imagery, the model not only improves reconstruction performance but also yields smooth segmentation. Th

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"New Directions in Sparse Models for Image Analysis and Restoration." Doctoral diss., 2013. http://hdl.handle.net/2286/R.I.16472.

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abstract: Effective modeling of high dimensional data is crucial in information processing and machine learning. Classical subspace methods have been very effective in such applications. However, over the past few decades, there has been considerable research towards the development of new modeling paradigms that go beyond subspace methods. This dissertation focuses on the study of sparse models and their interplay with modern machine learning techniques such as manifold, ensemble and graph-based methods, along with their applications in image analysis and recovery. By considering graph relati

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Ravindra, G. "Information Theoretic Approach To Extractive Text Summarization." Thesis, 2006. http://hdl.handle.net/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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Thummala, Vamsidhar. "SAFE: A Declarative Trust-Agile System with Linked Credentials." Diss., 2016. http://hdl.handle.net/10161/12236.

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<p>Secure Access For Everyone (SAFE), is an integrated system for managing trust</p><p>using a logic-based declarative language. Logical trust systems authorize each</p><p>request by constructing a proof from a context---a set of authenticated logic</p><p>statements representing credentials and policies issued by various principals</p><p>in a networked system. A key barrier to practical use of logical trust systems</p><p>is the problem of managing proof contexts: identifying, validating, and</p><p>assembling the credentials and policies that are relevant to each trust</p><p>decision. </p><p>SA

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Σαρίδη, Χριστίνα. "Σχεδιασμός και υλοποίηση του μαθήματος πρωτοβάθμιας εκπαίδευσης Τ.Π.Ε "Τεχνολογίες της πληροφορίας και επικοινωνιών" σε πλατφόρμα ηλεκτρονικής μάθησης και η χρησιμότητα της στην εκπαιδευτική διαδικασία". Thesis, 2014. http://hdl.handle.net/10889/8411.

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Abstract:

Τα τελευταία χρόνια η ανάπτυξη της τεχνολογίας καθιέρωσε όρους όπως εξ αποστάσεως εκπαίδευση και ηλεκτρονική μάθηση συμπληρώνοντας την συμβατική εκπαίδευση με μια μορφή επικοινωνίας. Έτσι η νέα αυτή μορφή εκπαίδευσης προσαρμόζεται σε προγράμματα της πρωτοβάθμιας, δευτεροβάθμιας και τριτοβάθμιας εκπαίδευσης. Η εισαγωγή των Τ.Π.Ε στην εκπαίδευση και κατ επέκταση στην πρωτοβάθμια εκπαίδευση λειτούργησε ως εργαλείο μάθησης, ως εποπτικό μέσο διδασκαλίας, ως γνωστικό και διερευνητικό εργαλείο αλλά και ως εργαλείο επικοινωνίας και αναζήτησης πληροφοριών. Στην παρούσα διπλωματική εργασία θα δημιουργη

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