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Dissertations / Theses on the topic 'Visual and semantic embedding'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Engilberge, Martin. "Deep Inside Visual-Semantic Embeddings." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS150.

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De nos jours l’Intelligence artificielle (IA) est omniprésente dans notre société. Le récent développement des méthodes d’apprentissage basé sur les réseaux de neurones profonds aussi appelé “Deep Learning” a permis une nette amélioration des modèles de représentation visuelle et textuelle. Cette thèse aborde la question de l’apprentissage de plongements multimodaux pour représenter conjointement des données visuelles et sémantiques. C’est une problématique centrale dans le contexte actuel de l’IA et du deep learning, qui présente notamment un très fort potentiel pour l’interprétabilité des mo

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2

Wang, Qian. "Zero-shot visual recognition via latent embedding learning." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/zeroshot-visual-recognition-via-latent-embedding-learning(bec510af-6a53-4114-9407-75212e1a08e1).html.

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Traditional supervised visual recognition methods require a great number of annotated examples for each concerned class. The collection and annotation of visual data (e.g., images and videos) could be laborious, tedious and time-consuming when the number of classes involved is very large. In addition, there are such situations where the test instances are from novel classes for which training examples are unavailable in the training stage. These issues can be addressed by zero-shot learning (ZSL), an emerging machine learning technique enabling the recognition of novel classes. The key issue i

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3

Ficapal, Vila Joan. "Anemone: a Visual Semantic Graph." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252810.

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Semantic graphs have been used for optimizing various natural language processing tasks as well as augmenting search and information retrieval tasks. In most cases these semantic graphs have been constructed through supervised machine learning methodologies that depend on manually curated ontologies such as Wikipedia or similar. In this thesis, which consists of two parts, we explore in the first part the possibility to automatically populate a semantic graph from an ad hoc data set of 50 000 newspaper articles in a completely unsupervised manner. The utility of the visual representation of th

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4

Jakeš, Jan. "Visipedia - Embedding-driven Visual Feature Extraction and Learning." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236120.

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Multidimenzionální indexování je účinným nástrojem pro zachycení podobností mezi objekty bez nutnosti jejich explicitní kategorizace. V posledních letech byla tato metoda hojně využívána pro anotaci objektů a tvořila významnou část publikací spojených s projektem Visipedia. Tato práce analyzuje možnosti strojového učení z multidimenzionálně indexovaných obrázků na základě jejich obrazových příznaků a přestavuje metody predikce multidimenzionálních souřadnic pro předem neznámé obrázky. Práce studuje příslušené algoritmy pro extrakci příznaků, analyzuje relevantní metody strojového účení a popis

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Gao, Jizhou. "VISUAL SEMANTIC SEGMENTATION AND ITS APPLICATIONS." UKnowledge, 2013. http://uknowledge.uky.edu/cs_etds/14.

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This dissertation addresses the difficulties of semantic segmentation when dealing with an extensive collection of images and 3D point clouds. Due to the ubiquity of digital cameras that help capture the world around us, as well as the advanced scanning techniques that are able to record 3D replicas of real cities, the sheer amount of visual data available presents many opportunities for both academic research and industrial applications. But the mere quantity of data also poses a tremendous challenge. In particular, the problem of distilling useful information from such a large repository of

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6

Liu, Jingen. "Learning Semantic Features for Visual Recognition." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3358.

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Visual recognition (e.g., object, scene and action recognition) is an active area of research in computer vision due to its increasing number of real-world applications such as video (image) indexing and search, intelligent surveillance, human-machine interaction, robot navigation, etc. Effective modeling of the objects, scenes and actions is critical for visual recognition. Recently, bag of visual words (BoVW) representation, in which the image patches or video cuboids are quantized into visual words (i.e., mid-level features) based on their appearance similarity using clustering, has been wi

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7

Nguyen, Duc Minh Chau. "Affordance learning for visual-semantic perception." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2443.

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Affordance Learning is linked to the study of interactions between robots and objects, including how robots perceive objects by scene understanding. This area has been popular in the Psychology, which has recently come to influence Computer Vision. In this way, Computer Vision has borrowed the concept of affordance from Psychology in order to develop Visual-Semantic recognition systems, and to develop the capabilities of robots to interact with objects, in particular. However, existing systems of Affordance Learning are still limited to detecting and segmenting object affordances, which is cal

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8

Chen, Yifu. "Deep learning for visual semantic segmentation." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS200.

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Dans cette thèse, nous nous intéressons à la segmentation sémantique visuelle, une des tâches de haut niveau qui ouvre la voie à une compréhension complète des scènes. Plus précisément, elle requiert une compréhension sémantique au niveau du pixel. Avec le succès de l’apprentissage approfondi de ces dernières années, les problèmes de segmentation sémantique sont abordés en utilisant des architectures profondes. Dans la première partie, nous nous concentrons sur la construction d’une fonction de coût plus appropriée pour la segmentation sémantique. En particulier, nous définissons une nouvelle

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9

Fan, Wei. "Image super-resolution using neighbor embedding over visual primitive manifolds /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20FAN.

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10

Hanwell, David. "Weakly supervised learning of visual semantic attributes." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687063.

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There are at present many billions of images on the internet, only a fraction of which are labelled according to their semantic content. To automatically provide labels for the rest, models of visual semantic concepts must be created. Such models are traditionally trained using images which have been manually acquired, segmented, and labelled. In this thesis, we submit that such models can be learned automatically using those few images which have already been labelled, either directly by their creators, or indirectly by their associated text. Such imagery can be acquired easily, cheaply, and

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11

Rabovsky, Milena. "Semantic richness effects in visual word processing." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014. http://dx.doi.org/10.18452/17073.

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Lesen zielt darauf ab, Bedeutung aus geschriebenem Text zu extrahieren. Interessanterweise unterscheiden sich Wörter beträchtlich hinsichtlich der Menge mit ihnen assoziierter Bedeutung, und es wurde kürzlich gezeigt, dass eine hohe Bedeutungshaltigkeit lexikalische und semantische Aufgaben erleichtert. Die vorliegende Dissertation kombiniert ereigniskorrelierte Potentiale (EKPs) und konnektionistische Modellierung, um einige offene Fragen zur Rolle der Bedeutungshaltigkeit bei der Wortverarbeitung anzugehen. Hierbei wurden EKPs verwendet, um den Zeitverlauf unabhängiger Einflüsse der Anzahl s

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MALIK, WAQAS. "Visual Semantic Web.Ontology based E-learning management system." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4326.

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E-Learning is a process in which we use the electronic medium to access the defined set of applications and processes. With its increasing identification and recognition in academic and corporate world, a unique model or framework is required. E-Learning is a critical support mechanism for educational institutions to grow the performance of their students, teachers, as well as useful for organizations to enhance the performance of their employees. Semantic web represents a potential technology for realizing e-Learning requirements Research works in the field of e-Learning are represented by a

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Schroff, Florian. "Semantic Image Segmentation and Web-Supervised Visual Learning." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504578.

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14

Telling, Anna L. "Semantic and phonological context effects in visual search." Thesis, University of Birmingham, 2008. http://etheses.bham.ac.uk//id/eprint/182/.

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Visual search requires participants to search for a pre-specified target amongst a number of distractors. According to theories of visual search, attention is directed towards the target through a combination of stimulus-driven (bottom-up) and goal-driven (top-down) means. For example, when searching for a red car, top-down attention can prepare the visual system to prioritise items with matching visual properties to the target, e.g., red objects. Theories of visual search support guidance according to visual properties, including the Guided Search model (Wolfe, 1994) and Attentional Engagemen

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15

Ye, Meng. "VISUAL AND SEMANTIC KNOWLEDGE TRANSFER FOR NOVEL TASKS." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/583037.

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Computer and Information Science<br>Ph.D.<br>Data is a critical component in a supervised machine learning system. Many successful applications of learning systems on various tasks are based on a large amount of labeled data. For example, deep convolutional neural networks have surpassed human performance on ImageNet classification, which consists of millions of labeled images. However, one challenge in conventional supervised learning systems is their generalization ability. Once a model is trained on a specific dataset, it can only perform the task on those \emph{seen} classes and cannot be

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Kaewtrakulpong, Pakorn. "Adaptive probabilistic models for learning semantic patterns." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269084.

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17

Wang, Run Fen. "Semantic Text Matching Using Convolutional Neural Networks." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362134.

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Semantic text matching is a fundamental task for many applications in NaturalLanguage Processing (NLP). Traditional methods using term frequencyinversedocument frequency (TF-IDF) to match exact words in documentshave one strong drawback which is TF-IDF is unable to capture semanticrelations between closely-related words which will lead to a disappointingmatching result. Neural networks have recently been used for various applicationsin NLP, and achieved state-of-the-art performances on many tasks.Recurrent Neural Networks (RNN) have been tested on text classificationand text matching, but it d

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Binford, Adam Quarles. "A Bidirectional Pipeline for Semantic Interaction in Visual Analytics." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/72981.

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Semantic interaction in visual data analytics allows users to indirectly adjust model parameters by directly manipulating the output of the models. This is accomplished using an underlying bidirectional pipeline that first uses statistical models to visualize the raw data. When a user interacts with the visualization, the interaction is interpreted into updates in the model parameters automatically, giving the users immediate feedback on each interaction. These interpreted interactions eliminate the need for a deep understanding of the underlying statistical models. However, the development of

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Ma, Chao. "Visual analytic technique and system of spatiotemporal-semantic events." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1594852646584126.

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Choudhary, Rishabh R. "Construction and Visualization of Semantic Spaces for Domain-Specific Text Corpora." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627666092811419.

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21

Zinovieff, Fiona M. "Interaction of lexical-semantic and imagery representations." Thesis, Bangor University, 2000. https://research.bangor.ac.uk/portal/en/theses/interaction-of-lexicalsemantic-and-imagery-representations(75423ae6-238f-4577-a935-e08dc4219c9c).html.

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We report a series of experiments using a new methodology to investigate the relationships between visual and verbal representations and the process of acquiring new semantic associations. Transfer of associative information between stimulus modalities was investigated by training paired associations between novel pictures and novel words. Our results showed that the transfer of associations is a symbolic process, occurring only when participants are aware of the correspondence between the visual and the verbal items afforded by the name relations. We also obtained evidence to suggest that sym

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22

Durak, Nurcan. "Semantic Video Modeling And Retrieval With Visual, Auditory, Textual Sources." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605438/index.pdf.

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The studies on content-based video indexing and retrieval aim at accessing video content from different aspects more efficiently and effectively. Most of the studies have concentrated on the visual component of video content in modeling and retrieving the video content. Beside visual component, much valuable information is also carried in other media components, such as superimposed text, closed captions, audio, and speech that accompany the pictorial component. In this study, semantic content of video is modeled using visual, auditory, and textual components. In the visual domain, visual even

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Barb, Adrian S. "Knowledge representation and exchange of visual patterns using semantic abstractions." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/6674.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on July 21, 2009) Includes bibliographical references.

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Bukva, Emir. "From the Wall to the Web: A Microformat for Visual Art." [Kent, Ohio] : Kent State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1259115325.

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Thesis (M.F.A.)--Kent State University, 2009.<br>Title from PDF t.p. (viewed April 22, 2010). Advisor: Sanda Katila. Keywords: microformats; semantic web; labels. Includes bibliographical references (p. 52-53).

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Mojica, Andrew Joseph. "Can Semantic Activation Affect Figure Assignment?" Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/321450.

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Figure assignment entails competition between object properties on opposite sides of borders. The figure is perceived on the side of the border that wins the competition. Ample evidence indicates that configural familiarity is among the competing object properties. We investigated whether priming the semantics of a familiar object suggested along one side of a border can increase its likelihood of winning the competition. To prime the semantics, we presented brief masked exposures of object names before brief masked exposures of displays where a portion of a familiar object was suggested on on

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Stigeborn, Olivia. "Text ranking based on semantic meaning of sentences." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300442.

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Finding a suitable candidate to client match is an important part of consultant companies work. It takes a lot of time and effort for the recruiters at the company to read possibly hundreds of resumes to find a suitable candidate. Natural language processing is capable of performing a ranking task where the goal is to rank the resumes with the most suitable candidates ranked the highest. This ensures that the recruiters are only required to look at the top ranked resumes and can quickly get candidates out in the field. Former research has used methods that count specific keywords in resumes an

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Bradel, Lauren C. "Multi-Model Semantic Interaction for Scalable Text Analytics." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52785.

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Learning from text data often involves a loop of tasks that iterate between foraging for information and synthesizing it in incremental hypotheses. Past research has shown the advantages of using spatial workspaces as a means for synthesizing information through externalizing hypotheses and creating spatial schemas. However, spatializing the entirety of datasets becomes prohibitive as the number of documents available to the analysts grows, particularly when only a small subset are relevant to the tasks at hand. To address this issue, we developed the multi-model semantic interaction (MSI) tec

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Zhang, Qianni. "Multi-feature Space Optimisation and Semantic Infer3ence for Visual Information Retrieval." Thesis, Queen Mary, University of London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498157.

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Endert, Alex. "Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28265.

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User interaction in visual analytic systems is critical to enabling visual data exploration. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. For example, two-dimensional layouts of high-dimensional data can be generated by dimension reduction models, and provide users with an overview of the relationships between information. However, exploring such spatializations can require expertise with the internal mechanisms and parameters of these models. The core contribution

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Wenskovitch, Jr John Edward. "Dimension Reduction and Clustering for Interactive Visual Analytics." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/96599.

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When exploring large, high-dimensional datasets, analysts often utilize two techniques for reducing the data to make exploration more tractable. The first technique, dimension reduction, reduces the high-dimensional dataset into a low-dimensional space while preserving high-dimensional structures. The second, clustering, groups similar observations while simultaneously separating dissimilar observations. Existing work presents a number of systems and approaches that utilize these techniques; however, these techniques can cooperate or conflict in unexpected ways. The core contribution of

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Castronovo, Julie. "Numbers in the dark : early visual deprivation and the semantic numerical representation." Université catholique de Louvain, 2007. http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-04022007-210758/.

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Study of the impact of early visual deprivation and its following experience with numbers and numerosities on the elaboration of the semantic numerical representation with the same properties to those postulated in sighted people.

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Gulen, Elvan. "Fusing Semantic Information Extracted From Visual, Auditory And Textual Data Of Videos." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614582/index.pdf.

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In recent years, due to the increasing usage of videos, manual information extraction is becoming insufficient to users. Therefore, extracting semantic information automatically turns out to be a serious requirement. Today, there exists some systems that extract semantic information automatically by using visual, auditory and textual data separately but the number of studies that uses more than one data source is very limited. As some studies on this topic have already shown, using multimodal video data for automatic information extraction ensures getting better results by guaranteeing increas

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Ishikawa, Erina Schaffer. "Semantic Interpretation of Eye Movements Using Author-designed Structure of Visual Content." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217199.

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Hussam, Ali. "Semantic highlighting : an approach to communicating information and knowledge through visual metadata." Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369988.

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Heath, Derrall L. "Using Perceptually Grounded Semantic Models to Autonomously Convey Meaning Through Visual Art." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6095.

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Developing advanced semantic models is important in building computational systems that can not only understand language but also convey ideas and concepts to others. Semantic models can allow a creative image-producing-agent to autonomously produce artifacts that communicate an intended meaning. This notion of communicating meaning through art is often considered a necessary part of eliciting an aesthetic experience in the viewer and can thus enhance the (perceived) creativity of the agent. Computational creativity, a subfield of artificial intelligence, deals with designing computational sys

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Siddiqui, Rafid. "On Fundamental Elements of Visual Navigation Systems." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00601.

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Visual navigation is a ubiquitous yet complex task which is performed by many species for the purpose of survival. Although visual navigation is actively being studied within the robotics community, the determination of elemental constituents of a robust visual navigation system remains a challenge. Motion estimation is mistakenly considered as the sole ingredient to make a robust autonomous visual navigation system and therefore efforts are made to improve the accuracy of motion estimations. On the contrary, there are other factors which are as important as motion and whose absence could resu

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Berndl, Emanuel [Verfasser], and Harald [Akademischer Betreuer] Kosch. "Embedding a Multimedia Metadata Model into a Workflow-driven Environment Using Idiomatic Semantic Web Technologies / Emanuel Berndl ; Betreuer: Harald Kosch." Passau : Universität Passau, 2019. http://d-nb.info/1192512022/34.

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Couairon, Guillaume. "Text-Based Semantic Image Editing." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS248.

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L’objectif de cette thèse est de proposer des algorithmes pour la tâche d’édition d’images basée sur le texte (TIE), qui consiste à éditer des images numériques selon une instruction formulée en langage naturel. Par exemple, étant donné une image d’un chien et la requête "Changez le chien en un chat", nous voulons produire une nouvelle image où le chien a été remplacé par un chat, en gardant tous les autres aspects de l’image inchangés (couleur et pose de l’animal, arrière- plan). L’objectif de l’étoile du nord est de permettre à tout un chacun de modifier ses images en util

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Ganis, Giorgio. "An electrophysiological analysis of semantic context effects on object identification /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9820876.

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Naci, Lorina. "Mechanisms for the semantic representation of everyday objects in the human ventral stream." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609004.

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Al, Halah Ziad [Verfasser], and R. [Akademischer Betreuer] Stiefelhagen. "Semantic Attributes for Transfer Learning in Visual Recognition / Ziad Al Halah ; Betreuer: R. Stiefelhagen." Karlsruhe : KIT-Bibliothek, 2018. http://d-nb.info/1164081020/34.

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Rowley, Katherine Elizabeth. "Visual word recognition in deaf readers : the interplay between orthographic, semantic and phonological information." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10048381/.

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Poor literacy is prevalent in the deaf population. This thesis assesses levels of literacy in the deaf population by investigating visual word recognition in deaf readers. For hearing readers, several studies have demonstrated that good visual word recognition skills are crucial for successful literacy attainment and poor readers are likely to have poor word recognition skills. In particular, phonology is known to play an important role in visual word recognition in hearing individuals. The role of phonology in deaf readers has also been addressed extensively. However, these have generated mix

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Stadtlander, Leann M. "Orthographic, phonological and semantic coding in visual word recognition : an examination with familiar pseudowords /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487844105976238.

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Helo, Andrea. "Scene exploration during development : influence of perceptual features and semantic context on visual attention." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB205/document.

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L'objectif de cette thèse est d'étudier le développement des mécanismes sous-tendant l'exploration d'une scène visuelle. Les résultats montrent que les stratégies d'attention ambiante et focale émergent vers l'âge de 12 mois. La saillance détermine davantage les mouvements oculaires chez les enfants de moins de 6 ans que chez les plus âgés. En outre, les objets sémantiquement inconsistants avec le contexte visuel attirent similairement le regard des jeunes enfants et des adultes. Cependant, seuls les enfants sont plus rapidement attirés par les objets à saillance élevée que par ceux à saillanc

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Scaltritti, Michele. "Retrospective Prime Reliance: A Flexible Retrospective Mechanism for Semantic Priming in Visual Word Recognition." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3426649.

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Recent evidences (Balota et al., 2008; Thomas et al., 2012) suggest that the cognitive system can retrospectively (i.e., after target presentation) increase its reliance on prime information when target-word recognition is made more difficult by experimental manipulations such as visual degradation. In fact, response time (RT) distributional analyses have shown that for clearly visible target-words the priming effect has the same size in all the portions of the RT distribution. In contrast, for degraded target-words, priming effects increase across the RT distribution, coherently with the id

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Siddiqui, Abujawad Rafid. "On Fundamental Elements of Visual Navigation Systems." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-46484.

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Visual navigation is a ubiquitous yet complex task which is performed by many species for the purpose of survival. Although visual navigation is actively being studied within the robotics community, the determination of elemental constituents of a robust visual navigation system remains a challenge. Motion estimation is mistakenly considered as the sole ingredient to make a robust autonomous visual navigation system and therefore efforts are made to improve the accuracy of motion estimations. On the contrary, there are other factors which are as important as motion and whose absence could resu

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Rautiainen, M. (Mika). "Content-based search and browsing in semantic multimedia retrieval." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514283007.

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Abstract Growth in storage capacity has led to large digital video repositories and complicated the discovery of specific information without the laborious manual annotation of data. The research focuses on creating a retrieval system that is ultimately independent of manual work. To retrieve relevant content, the semantic gap between the searcher's information need and the content data has to be overcome using content-based technology. Semantic gap constitutes of two distinct elements: the ambiguity of the true information need and the equivocalness of digital video data. The research probl

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Zoccoli, Sandra L. "Object features and object recognition Semantic memory abilities during the normal aging process /." Ann Arbor, Mich. : ProQuest, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3288933.

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Thesis (Ph.D. in Psychology)--S.M.U., 2007.<br>Title from PDF title page (viewed Nov. 19, 2009). Source: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7695. Adviser: Alan S. Brown. Includes bibliographical references.

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Sand, Anders. "Subliminal or not? : An appraisal of semantic processing in the near absence of visual awareness." Doctoral thesis, Stockholms universitet, Perception och psykofysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-132211.

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Stimuli that cannot be perceived (i.e., that are subliminal) can still elicit neural responses in an observer, but can such stimuli influence behavior and higher-order cognition? Empirical evidence for such effects has periodically been accepted and rejected over the last six decades. Today, many psychologists seem to consider such effects well-established and recent studies have extended the power of subliminal processing to new limits. In this thesis, I examine whether this shift in zeitgeist is matched by a shift in evidential strength for the phenomenon. This thesis consists of three empir

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Erol, Tugra. "The Visual Perception Of Automobile Seat Comfort." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607768/index.pdf.

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The visual domain design constitutes the general designers communication basis for communicating messages of product attributes. In the design of an automobile seat where mainly the accommodating functions remain constant, an automobile seat&rsquo<br>s &ldquo<br>style&rdquo<br>affords the ability to provide certain meanings with affective connotations. Treating style aesthetics as a source of information, the communication of &ldquo<br>comfort&rdquo<br>can be provided via forms and other attributes. The literature provides strong evidence that comfort is related with aesthetics of any object i

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