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Rozprawy doktorskie na temat „Retrieval models”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 5 lutego 2022

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1

Stathopoulos, Vassilios. "Generative probabilistic models for image retrieval." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3360/.

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Searching for information is a recurring problem that almost everyone has faced at some point. Being in a library looking for a book, searching through newspapers and magazines for an old article or searching through emails for an old conversation with a colleague are some examples of the searching activity. These are some of the many situations where someone; the “user”; has some vague idea of the information he is looking for; an “information need”; and is searching through a large number of documents, emails or articles; “information items”; to find the most “relevant” item for his purpose.

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2

Morgan, Richard. "Component library retrieval using property models." Thesis, Durham University, 1991. http://etheses.dur.ac.uk/6095/.

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The re-use of products such as code, specifications, design decisions and documentation has been proposed as a method for increasing software productivity and reliability. A major problem that has still to be adequately solved is the storage and retrieval of re-usable 'components'. Current methods, such as keyword retrieval and catalogues, rely on the use of names to describe components or categories. This is inadequate for all but a few well established components and categories; in the majority of cases names do not convey sufficient information on which to base a decision to retrieve. One a

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3

Vasconcelos, Nuno Miguel Borges de Pinho Cruz de. "Bayesian models for visual information retrieval." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/62947.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2000.<br>Includes bibliographical references (leaves 192-208).<br>This thesis presents a unified solution to visual recognition and learning in the context of visual information retrieval. Realizing that the design of an effective recognition architecture requires careful consideration of the interplay between feature selection, feature representation, and similarity function, we start by searching for a performance criteria that can simultaneously guide the design of

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4

Mensink, Thomas. "Learning Image Classification and Retrieval Models." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENM113/document.

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Nous assistons actuellement à une explosion de la quantité des données visuelles. Par exemple, plusieurs millions de photos sont partagées quotidiennement sur les réseaux sociaux. Les méthodes d'interprétation d'images vise à faciliter l'accès à ces données visuelles, d'une manière sémantiquement compréhensible. Dans ce manuscrit, nous définissons certains buts détaillés qui sont intéressants pour les taches d'interprétation d'images, telles que la classification ou la recherche d'images, que nous considérons dans les trois chapitres principaux. Tout d'abord, nous visons l'exploitation de la n

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5

Rebai, Ahmed. "Interactive Object Retrieval using Interpretable Visual Models." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00608467.

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This thesis is an attempt to improve visual object retrieval by allowing users to interact with the system. Our solution lies in constructing an interactive system that allows users to define their own visual concept from a concise set of visual patches given as input. These patches, which represent the most informative clues of a given visual category, are trained beforehand with a supervised learning algorithm in a discriminative manner. Then, and in order to specialize their models, users have the possibility to send their feedback on the model itself by choosing and weighting the patches t

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6

Pérez-Sancho, Carlos. "Stochastic language models for music information retrieval." Doctoral thesis, Universidad de Alicante, 2009. http://hdl.handle.net/10045/14217.

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Tam, Kwok Leung. "Indexing and retrieval of 3D articulated geometry models." Thesis, Durham University, 2009. http://etheses.dur.ac.uk/21/.

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In this PhD research study, we focus on building a content-based search engine for 3D articulated geometry models. 3D models are essential components in nowadays graphic applications, and are widely used in the game, animation and movies production industry. With the increasing number of these models, a search engine not only provides an entrance to explore such a huge dataset, it also facilitates sharing and reusing among different users. In general, it reduces production costs and time to develop these 3D models. Though a lot of retrieval systems have been proposed in recent years, search en

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8

Mjali, Siyabonga Zimozoxolo. "Latent semantic models : a study of probabilistic models for text in information retrieval." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/73881.

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Large volumes of text is being generated every minute which necessitates effective and robust tools to retrieve relevant information. Supervised learning approaches have been explored extensively for this task, but it is difficult to secure large collections of labelled data to train this set of models. Since a supervised approach is too expensive in terms of annotating data, we consider unsupervised methods such as topic models and word embeddings in order to represent corpora in lower dimensional semantic spaces. Furthermore, we investigate different distance measures to capture similarity b

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9

Belkacem, Thiziri. "Neural models for information retrieval : towards asymmetry sensitive approaches based on attention models." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30167.

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Ce travail se situe dans le contexte de la recherche d'information (RI) utilisant des techniques d'intelligence artificielle (IA) telles que l'apprentissage profond (DL). Il s'intéresse à des tâches nécessitant l'appariement de textes, telles que la recherche ad-hoc, le domaine du questions-réponses et l'identification des paraphrases. L'objectif de cette thèse est de proposer de nouveaux modèles, utilisant les méthodes de DL, pour construire des modèles d'appariement basés sur la sémantique de textes, et permettant de pallier les problèmes de l'inadéquation du vocabulaire relatifs aux représe

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10

Wessel, Raoul [Verfasser]. "Shape Retrieval Methods for Architectural 3D Models / Raoul Wessel." Bonn : Universitäts- und Landesbibliothek Bonn, 2014. http://d-nb.info/1048091503/34.

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11

Hörster, Eva. "Topic models for image retrieval on large-scale databases." kostenfrei kostenfrei, 2009. http://d-nb.info/998079553/34.

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12

Levy, Mark. "Retrieval and annotation of music using latent semantic models." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/2969.

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This thesis investigates the use of latent semantic models for annotation and retrieval from collections of musical audio tracks. In particular latent semantic analysis (LSA) and aspect models (or probabilistic latent semantic analysis, pLSA) are used to index words in descriptions of music drawn from hundreds of thousands of social tags. A new discrete audio feature representation is introduced to encode musical characteristics of automatically-identified regions of interest within each track, using a vocabulary of audio muswords. Finally a joint aspect model is developed that can learn from

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13

Osodo, Jennifer Akinyi. "An extended vector-based information retrieval system to retrieve e-learning content based on learner models." Thesis, University of Sunderland, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542053.

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14

Rao, Ashwani Pratap. "Statistical information retrieval models| Experiments, evaluation on real time data." Thesis, University of Delaware, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1567821.

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<p> We are all aware of the rise of information age: heterogeneous sources of information and the ability to publish rapidly and indiscriminately are responsible for information chaos. In this work, we are interested in a system which can separate the "wheat" of vital information from the chaff within this information chaos. An efficient filtering system can accelerate meaningful utilization of knowledge. Consider Wikipedia, an example of community-driven knowledge synthesis. Facts about topics on Wikipedia are continuously being updated by users interested in a particular topic. Consider an a

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15

Amati, Giambattista. "Probability models for information retrieval based on divergence from randomness." Thesis, University of Glasgow, 2003. http://theses.gla.ac.uk/1570/.

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This thesis devises a novel methodology based on probability theory, suitable for the construction of term-weighting models of Information Retrieval. Our term-weighting functions are created within a general framework made up of three components. Each of the three components is built independently from the others. We obtain the term-weighting functions from the general model in a purely theoretic way instantiating each component with different probability distribution forms. The thesis begins with investigating the nature of the statistical inference involved in Information Retrieval. We explo

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16

Zhou, Xiaohua Hu Xiaohua. "Semantics-based language models for information retrieval and text mining /." Philadelphia, Pa. : Drexel University, 2008. http://hdl.handle.net/1860/2931.

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17

Wang, Jun. "Probabilistic retrieval models : relationships, context-specific application, selection and implementation." Thesis, Queen Mary, University of London, 2011. http://qmro.qmul.ac.uk/xmlui/handle/123456789/655.

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Retrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes. TF-IDF, binary independence retrieval (BIR) model and language modelling (LM) are three of the most influential contemporary models due to their stability and performance. The BIR model and LM have probabilistic theory as their basis, whereas TF-IDF is viewed as a heuristic model, whose theoretical justification always fascinates researchers. This thesis firstly investigates the parallel derivation of BIR model, LM and Poisson m

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18

Teevan, Jaime B. (Jaime Brooks) 1976. "Improving information retrieval with textual analysis : Bayesian models and beyond." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86759.

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19

Conser, Erik Timothy. "Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/3879.

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Image retrieval via a structured query is explored in Johnson, et al. [7]. The query is structured as a scene graph and a graphical model is generated from the scene graph's object, attribute, and relationship structure. Inference is performed on the graphical model with candidate images and the energy results are used to rank the best matches. In [7], scene graph objects that are not in the set of recognized objects are not represented in the graphical model. This work proposes and tests two approaches for modeling the unrecognized objects in order to leverage the attribute and relationship m

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20

Zarrinkoub, Sahand. "Transfer Learning in Deep Structured Semantic Models for Information Retrieval." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286310.

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Recent approaches to IR include neural networks that generate query and document vector representations. The representations are used as the basis for document retrieval and are able to encode semantic features if trained on large datasets, an ability that sets them apart from classical IR approaches such as TF-IDF. However, the datasets necessary to train these networks are not available to the owners of most search services used today, since they are not used by enough users. Thus, methods for enabling the use of neural IR models in data-poor environments are of interest. In this work, a bag

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21

Xu, Zhe. "Expertise Retrieval in Enterprise Microblogs with Enhanced Models and Brokers." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1399000265.

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22

Deng, Jie. "Emotion-based music retrieval and recommendation." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/82.

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The digital music industry has expanded dramatically during the past decades, which results in the generation of enormous amounts of music data. Along with the Internet, the growing volume of quantitative data about users (e.g., users’ behaviors and preferences) can be easily collected nowadays. All these factors have the potential to produce big data in the music industry. By utilizing big data analysis of music related data, music can be better semantically understood (e.g., genres and emotions), and the user’s high-level needs such as automatic recognition and annotation can be satisfied. F

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23

Draeger, Marco. "Use of probabilistic topic models for search." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Sep/09Sep_Draeger.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2009.<br>Thesis Advisor(s): Squire, Kevin M. "September 2009." Description based on title screen as viewed on November 5, 2009. Author(s) subject terms: Document modeling, information retrieval, semantic search, Bayesian nonparametric methods, hierarchical Bayes. Includes bibliographical references (p. 67-71). Also available in print.

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24

Park, Byung Chun. "Analytical models and optimal strategies for automated storage/retrieval system operations." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24568.

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25

Beecks, Christian [Verfasser]. "Distance-based similarity models for content-based multimedia retrieval / Christian Beecks." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2013. http://d-nb.info/1046647245/34.

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Jonsson, Therese. "Data Retrieval Strategy for Modern Database Models in a Serverless Architecture." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279950.

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The arising presence of social media platforms shapes modern system architectures to handle performance and scale. As user volumes increase, the need to keep data consistent and available at storage locations across the world adds complexity in distributed systems. The startup Leader Island has developed a communication platform for companies and organizations, using Amazon Web Services (AWS) as cloud provider to overcome operational concerns. Within their platform, users share various content and interact with each other. Data retrieval is an essential component in the platform, as the users

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27

Doan, Khoa Dang. "Generative models meet similarity search: efficient, heuristic-free and robust retrieval." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/105052.

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The rapid growth of digital data, especially visual and textual contents, brings many challenges to the problem of finding similar data. Exact similarity search, which aims to exhaustively find all relevant items through a linear scan in a dataset, is impractical due to its high computational complexity. Approximate-nearest-neighbor (ANN) search methods, especially the Learning-to-hash or Hashing methods, provide principled approaches that balance the trade-offs between the quality of the guesses and the computational cost for web-scale databases. In this era of data explosion, it is crucial f

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28

Abdulahhad, Karam. "Information retrieval modeling by logic and lattice : application to conceptual information retrieval." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM014/document.

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Cette thèse se situe dans le contexte des modèles logique de Recherche d'Information (RI). Le travail présenté dans la thèse est principalement motivé par l'inexactitude de l'hypothèse sur l'indépendance de termes. En effet, cette hypothèse communément acceptée en RI stipule que les termes d'indexation sont indépendant les un des autres. Cette hypothèse est fausse en pratique mais permet tout de même aux systèmes de RI de donner de bon résultats. La proposition contenue dans cette thèse met également l'emphase sur la nature déductive du processus de jugement de pertinence. Les logiques formell

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29

Lupinetti, Katia. "Identification of shape and structural characteristics in assembly models for retrieval applications." Thesis, Paris, ENSAM, 2018. http://www.theses.fr/2018ENAM0003/document.

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Au cours des dernières années, innombrables produits ont été conçus en utilisant des modèles numériques 3D, où les courants logiciels pour la conception et le dessin technique utilisent des modèles CAO (Conception Assistée par Ordinateur). Ces logiciels sont utilisés dans de nombreux domaines, tels que l'automobile, la marine, l'aérospatiale et plus encore. À l'intérieur de d'une entreprise qui utilise ces systèmes, il est possible d'avoir accès à des modèles CAO de produits déjà développés puisque la conception de nouveaux produits fait souvent référence à des modèles existants depuis que pro

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30

Petkova, Desislava I. "Cluster-based relevance models for automatic image annotation /." Connect to online version, 2005. http://ada.mtholyoke.edu/setr/websrc/pdfs/www/2005/124.pdf.

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Fei, Qi. "Operation models for information systems /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?IELM%202009%20FEI.

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Udoyen, Nsikan. "Information Modeling for Intent-based Retrieval of Parametric Finite Element Analysis Models." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14084.

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Adaptive reuse of parametric finite element analysis (FEA) models is a common form of reuse that involves integrating new information into an archived FEA model to apply it towards a new similar physical problem. Adaptive reuse of archived FEA models is often motivated by the need to assess the impact of minor improvements to component-based designs such as addition of new structural components, or the need to assess new failure modes that arise when a device is redesigned for new operating environments or loading conditions. Successful adaptive reuse of FEA models involves reference to suppor

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33

Renners, Ingo. "Data-driven system identification via evolutionary retrieval of Takagi-Sugeno fuzzy models." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=974452351.

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34

Lester, Neil. "Assisting the software reuse process through classification and retrieval of software models." Thesis, University of Ulster, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311531.

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35

Marcén, Terraza Ana Cristina. "Design of a Machine Learning-based Approach for Fragment Retrieval on Models." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/158617.

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[ES] El aprendizaje automático (ML por sus siglas en inglés) es conocido como la rama de la inteligencia artificial que reúne algoritmos estadísticos, probabilísticos y de optimización, que aprenden empíricamente. ML puede aprovechar el conocimiento y la experiencia que se han generado durante años en las empresas para realizar automáticamente diferentes procesos. Por lo tanto, ML se ha aplicado a diversas áreas de investigación, que estudian desde la medicina hasta la ingeniería del software. De hecho, en el campo de la ingeniería del software, el mantenimiento y la evolución de un sistema

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36

Roos, Daniel. "Evaluation of BERT-like models for small scale ad-hoc information retrieval." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177675.

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Measuring semantic similarity between two sentences is an ongoing research field with big leaps being taken every year. This thesis looks at using modern methods of semantic similarity measurement for an ad-hoc information retrieval (IR) system. The main challenge tackled was answering the question "What happens when you don’t have situation-specific data?". Using encoder-based transformer architectures pioneered by Devlin et al., which excel at fine-tuning to situationally specific domains, this thesis shows just how well the presented methodology can work and makes recommendations for future

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Limbu, Dilip Kumar. "Contextual information retrieval from the WWW." Click here to access this resource online, 2008. http://hdl.handle.net/10292/450.

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Contextual information retrieval (CIR) is a critical technique for today’s search engines in terms of facilitating queries and returning relevant information. Despite its importance, little progress has been made in its application, due to the difficulty of capturing and representing contextual information about users. This thesis details the development and evaluation of the contextual SERL search, designed to tackle some of the challenges associated with CIR from the World Wide Web. The contextual SERL search utilises a rich contextual model that exploits implicit and explicit data to modify

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38

Hart, James Brian. "An examination of two synthetic aperture radar wind retrieval models during NORCSEX '95." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA326275.

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Thesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, December 1996.<br>"December 1996." Thesis advisor(s): Kenneth Davidson, Carlyle H. Wash. Includes bibliographical references (p. 71-72). Also available online.

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Azzam, Hany. "Modelling semantic search : the evolution of knowledge modelling, retrieval models and query processing." Thesis, Queen Mary, University of London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538379.

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陸穎剛 and Wing-kong Luk. "Concept space approach for cross-lingual information retrieval." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B30147724.

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Kaliciak, Leszek. "Hybrid models for combination of visual and textual features in context-based image retrieval." Thesis, Robert Gordon University, 2013. http://hdl.handle.net/10059/924.

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Visual Information Retrieval poses a challenge to intelligent information search systems. This is due to the semantic gap, the difference between human perception (information needs) and the machine representation of multimedia objects. Most existing image retrieval systems are monomodal, as they utilize only visual or only textual information about images. The semantic gap can be reduced by improving existing visual representations, making them suitable for a large-scale generic image retrieval. The best up-to-date candidates for a large-scale Content-based Image Retrieval are models based on

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42

El, Khoury Rachid. "Partial 3D-shape indexing and retrieval." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00834359.

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A growing number of 3D graphic applications have an impact on today's society. These applications are being used in several domains ranging from digital entertainment, computer aided design, to medical applications. In this context, a 3D object search engine with a good performance in time consuming and results becomes mandatory. We propose a novel approach for 3D-model retrieval based on closed curves. Then we enhance our method to handle partial 3D-model retrieval. Our method starts by the definition of an invariant mapping function. The important properties of a mapping function are its inv

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43

Strunjas, Svetlana. "Algorithms and Models for Collaborative Filtering from Large Information Corpora." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1220001182.

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Yngve, Gary. "Visualization for biological models, simulation, and ontologies /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/6912.

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Olivares, Ríos Ximena. "Large scale image retrieval base on user generated content." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/22718.

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Los sistemas online para compartir fotos proporcionan una valiosa fuente de contenidos generado por el usuario (UGC). La mayor a de los sistemas de re- cuperaci on de im agenes Web utilizan las anotaciones textuales para rankear los resultados, sin embargo estas anotaciones no s olo ilustran el contenido visual de una imagen, sino que tambi en describen situaciones subjetivas, espaciales, temporales y sociales, que complican la tarea de b usqueda basada en palabras clave. La investigaci on en esta tesis se centra en c omo mejorar la recuperaci on de im agenes en sistemas de gran escal

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46

Gray, Brett. "Relational models of feature based concept formation, theory-based concept formation and analogical retrieval/mapping /." [St. Lucia, Qld.], 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17450.pdf.

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Zhang, Xiangmin. "A study of the effects of user characteristics on mental models of information retrieval systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0002/NQ41538.pdf.

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McPherson, Christopher. "Refinement of CALIPSO Aerosol Retrieval Models Through Analysis of Airborne High Spectral Resolution Lidar Data." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/145281.

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The deepening of scientific understanding of atmospheric aerosols figures substan¬tially into stated goals for climate change research and a variety of internationally col¬laborative earth observation missions. One such mission is the joint NASA/Centre Na¬tional d’Études Spatiales (CNES) Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission, whose primary instrument is the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), a spaceborne two-wavelength, elastic-scatter li¬dar, which has been making continuous, global observations of atmospheric aerosols and

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Wu, Bruce Jiinpo. "The effects of data models and conceptual models of the structured query language on the task of query writing by end users." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc332680/.

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This research is an empirical investigation of human factors on the use of database systems. The problem motivating the study is the difficulty encountered by end-users in retrieving data from a database.

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Murugesan, Keerthiram. "CLUSTER-BASED TERM WEIGHTING AND DOCUMENT RANKING MODELS." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_theses/651.

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A term weighting scheme measures the importance of a term in a collection. A document ranking model uses these term weights to find the rank or score of a document in a collection. We present a series of cluster-based term weighting and document ranking models based on the TF-IDF and Okapi BM25 models. These term weighting and document ranking models update the inter-cluster and intra-cluster frequency components based on the generated clusters. These inter-cluster and intra-cluster frequency components are used for weighting the importance of a term in addition to the term and document freque

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