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Dissertations / Theses on the topic 'Multimodal processing'

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1

Cadène, Rémi. "Deep Multimodal Learning for Vision and Language Processing." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS277.

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Les technologies du numérique ont joué un rôle déterminant dans la transformation de notre société. Des méthodes statistiques récentes ont été déployées avec succès afin d’automatiser le traitement de la quantité croissante d’images, de vidéos et de textes que nous produisons quotidiennement. En particulier, les réseaux de neurones profonds ont été adopté par les communautés de la vision par ordinateur et du traitement du langage naturel pour leur capacité à interpréter le contenu des images et des textes une fois entraînés sur de grands ensembles de données. Les prog
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Hu, Yongtao, and 胡永涛. "Multimodal speaker localization and identification for video processing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/212633.

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Chen, Xun. "Multimodal biomedical signal processing for corticomuscular coupling analysis." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/45811.

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Corticomuscular coupling analysis using multiple data sets such as electroencepha-logram (EEG) and electromyogram (EMG) signals provides a useful tool for understanding human motor control systems. A popular conventional method to assess corticomuscular coupling is the pair-wise magnitude-squared coherence (MSC). However, there are certain limitations associated with MSC, including the difficulty in robustly assessing group inference, only dealing with two types of data sets simultaneously and the biologically implausible assumption of pair-wise interactions. In this thesis, we propose severa
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Sadr, Lahijany Nadi. "Multimodal Signal Processing for Diagnosis of Cardiorespiratory Disorders." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17636.

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This thesis addresses the use of multimodal signal processing to develop algorithms for the automated processing of two cardiorespiratory disorders. The aim of the first application of this thesis was to reduce false alarm rate in an intensive care unit. The goal was to detect five critical arrhythmias using processing of multimodal signals including photoplethysmography, arterial blood pressure, Lead II and augmented right arm electrocardiogram (ECG). A hierarchical approach was used to process the signals as well as a custom signal processing technique for each arrhythmia type. Sleep disorde
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Elshaw, Mark. "Multimodal neural grounding of language processing for robot actions." Thesis, University of Sunderland, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420517.

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6

Friedel, Paul. "Sensory information processing : detection, feature extraction, & multimodal integration." kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/651333/651333.pdf.

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7

Sadeghi, Ghandehari Soroush. "Multimodal signal processing in the peripheral and central vestibular pathways." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95559.

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The vestibular sensory apparatus and associated vestibular nuclei encode head movements during our daily activities. In addition to direct inputs from vestibular afferents, the vestibular nuclei receive substantial projections from cortical. cerebellar, spinal cord. and other brainstem structures. The present studies were aimed at investigating the coding strategies and the signals carried by the peripheral and central vestibular neurons under normal conditions and following vestibular compensation. In normal animals, we first studied the coding strategies of regular and irregular afferents us
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Fateri, Sina. "Advanced signal processing techniques for multimodal ultrasonic guided wave response." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11657.

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Ultrasonic technology is commonly used in the eld of Non-Destructive Testing (NDT) of metal structures such as steel, aluminium, etc. Compared to ultrasonic bulk waves that travel in infinite media with no boundary influence, Ultrasonic Guided Waves (UGWs) require a structural boundary for propagation such that they can be used to inspect and monitor long elements of a structure from a single position. The greatest challenges for any UGW system are the plethora of wave modes arising from the geometry of the structural element which propagate with a range of frequency dependent velocities and t
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Caglayan, Ozan. "Multimodal Machine Translation." Thesis, Le Mans, 2019. http://www.theses.fr/2019LEMA1016/document.

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La traduction automatique vise à traduire des documents d’une langue à une autre sans l’intervention humaine. Avec l’apparition des réseaux de neurones profonds (DNN), la traduction automatique neuronale(NMT) a commencé à dominer le domaine, atteignant l’état de l’art pour de nombreuses langues. NMT a également ravivé l’intérêt pour la traduction basée sur l’interlangue grâce à la manière dont elle place la tâche dans un cadre encodeur-décodeur en passant par des représentations latentes. Combiné avec la flexibilité architecturale des DNN, ce cadre a aussi ouvert une piste de recherche sur la
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Fridman, Linnea, and Victoria Nordberg. "Two Multimodal Image Registration Approaches for Positioning Purposes." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157424.

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This report is the result of a master thesis made by two students at Linköping University. The aim was to find an image registration method for visual and infrared images and to find an error measure for grading the registration performance. In practice this could be used for position determination by registering the infrared image taken at the current position to a set of visual images with known positions and determining which visual image matches the best. Two methods were tried, using different image feature extractors and different ways to match the features. The first method used phase i
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11

Zamzmi, Ghada. "Automatic Multimodal Assessment of Neonatal Pain." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7662.

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For several decades, pediatricians used to believe that neonates do not feel pain. The American Academy of Pediatrics (AAP) recognized neonates' sense of pain in 1987. Since then, there have been many studies reporting a strong association between repeated pain exposure (under-treatment) and alterations in brain structure and function. This association has led to the increased use of anesthetic medications. However, recent studies found that the excessive use of analgesic medications (over-treatment) can cause many side effects. The current standard for assessing neonatal pain is discontinuou
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12

Baum, Karl G. "Multimodal breast imaging : registration, visualization, and image synthesis /." Online version of thesis, 2008. http://hdl.handle.net/1850/7063.

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13

Panchev, Christo. "Spatio-temporal and multimodal processing in a spiking neural mind of a robot." Thesis, University of Sunderland, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420478.

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14

Sanders, Teresa H. "Multimodal assessment of Parkinson's disease using electrophysiology and automated motor scoring." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51970.

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A suite of signal processing algorithms designed for extracting information from brain electrophysiology and movement signals, along with new insights gained by applying these tools to understanding parkinsonism, were presented in this dissertation. The approach taken does not assume any particular stimulus, underlying activity, or synchronizing event, nor does it assume any particular encoding scheme. Instead, novel signal processing applications of complex continuous wavelet transforms, cross-frequency-coupling, feature selection, and canonical correlation were developed to discover the most
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Whitehurst, Daniel Scott. "Techniques for Processing Airborne Imagery for Multimodal Crop Health Monitoring and Early Insect Detection." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73048.

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During their growth, crops may experience a variety of health issues, which often lead to a reduction in crop yield. In order to avoid financial loss and sustain crop survival, it is imperative for farmers to detect and treat crop health issues. Interest in the use of unmanned aerial vehicles (UAVs) for precision agriculture has continued to grow as the cost of these platforms and sensing payloads has decreased. The increase in availability of this technology may enable farmers to scout their fields and react to issues more quickly and inexpensively than current satellite and other airborne me
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Lizarraga, Gabriel M. "A Neuroimaging Web Interface for Data Acquisition, Processing and Visualization of Multimodal Brain Images." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3855.

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Structural and functional brain images are generated as essential modalities for medical experts to learn about the different functions of the brain. These images are typically visually inspected by experts. Many software packages are available to process medical images, but they are complex and difficult to use. The software packages are also hardware intensive. As a consequence, this dissertation proposes a novel Neuroimaging Web Services Interface (NWSI) as a series of processing pipelines for a common platform to store, process, visualize and share data. The NWSI system is made up of passw
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Alameda-Pineda, Xavier. "Egocentric Audio-Visual Scene Analysis : a machine learning and signal processing approach." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM024/document.

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Depuis les vingt dernières années, l'industrie a développé plusieurs produits commerciaux dotés de capacités auditives et visuelles. La grand majorité de ces produits est composée d'un caméscope et d'un microphone embarqué (téléphones portables, tablettes, etc). D'autres, comme la Kinect, sont équipés de capteurs de profondeur et/ou de petits réseaux de microphones. On trouve également des téléphones portables dotés d'un système de vision stéréo. En même temps, plusieurs systèmes orientés recherche sont apparus (par exemple, le robot humanoïde NAO). Du fait que ces systèmes sont compacts, leur
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Karvonen, Tuukka Matias. "Towards Visuocomputational Endoscopy: Visual Computing for Multimodal and Multi-Articulated Endoscopy." Kyoto University, 2017. http://hdl.handle.net/2433/227661.

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19

Koubaroulis, D. A. "The multimodal neighbourhood signature for modelling object colour appearance and applications in computer vision." Thesis, University of Surrey, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365142.

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20

Ladwig, Stefan [Verfasser]. "About multimodal information processing and the relation of proximal and distal action effects / Stefan Ladwig." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2015. http://d-nb.info/1066812535/34.

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21

Leatherday, Christopher. "Evaluation of recurrent glioma and Alzheimer’s disease using novel multimodal brain image processing and analysis." Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/2238.

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Novel analysis techniques were applied to two different sets of multi-modality brain images. Localised metabolic rate within the hippocampus was assessed for its ability to differentiate between groups of healthy, mildly cognitively impaired, and Alzheimer’s disease brains, and an investigation of its potential clinical diagnostic utility was conducted. Relative uptake and retention of two PET tracers (11Carbon Methionine and 18Fluoro Thymidine) in a post-treatment glioma patient cohort was utilized to perform survival prediction analysis.
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Appelstål, Michael. "Multimodal Model for Construction Site Aversion Classification." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-421011.

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Aversion on construction sites can be everything from missingmaterial, fire hazards, or insufficient cleaning. These aversionsappear very often on construction sites and the construction companyneeds to report and take care of them in order for the site to runcorrectly. The reports consist of an image of the aversion and atext describing the aversion. Report categorization is currentlydone manually which is both time and cost-ineffective. The task for this thesis was to implement and evaluate an automaticmultimodal machine learning classifier for the reported aversionsthat utilized both the im
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Delecraz, Sébastien. "Approches jointes texte/image pour la compréhension multimodale de documents." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0634/document.

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Les mécanismes de compréhension chez l'être humain sont par essence multimodaux. Comprendre le monde qui l'entoure revient chez l'être humain à fusionner l'information issue de l'ensemble de ses récepteurs sensoriels. La plupart des documents utilisés en traitement automatique de l'information sont multimodaux. Par exemple, du texte et des images dans des documents textuels ou des images et du son dans des documents vidéo. Cependant, les traitements qui leurs sont appliqués sont le plus souvent monomodaux. Le but de cette thèse est de proposer des traitements joints s'appliquant principalement
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24

Jaime, Mark. "The Role of Temporal Synchrony in the Facilitation of Perceptual Learning during Prenatal Development." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/58.

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This study explored the critical features of temporal synchrony for the facilitation of prenatal perceptual learning with respect to unimodal stimulation using an animal model, the bobwhite quail. The following related hypotheses were examined: (1) the availability of temporal synchrony is a critical feature to facilitate prenatal perceptual learning, (2) a single temporally synchronous note is sufficient to facilitate prenatal perceptual learning, with respect to unimodal stimulation, and (3) in situations where embryos are exposed to a single temporally synchronous note, facilitated perceptu
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Caixeta, Fabio Viegas. "Atividade multimodal no c?rtex sensorial prim?rio de ratos." Universidade Federal do Rio Grande do Norte, 2010. http://repositorio.ufrn.br:8080/jspui/handle/123456789/17290.

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Made available in DSpace on 2014-12-17T15:36:57Z (GMT). No. of bitstreams: 1 FabioVC.pdf: 1566053 bytes, checksum: ff1176922095055a7b4aa58b50429d3f (MD5) Previous issue date: 2010-02-26<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>The currently accepted model of sensory processing states that different senses are processed in parallel, and that the activity of specific cortical regions define the sensorial modality perceived by the subject. In this work we used chronic multielectrode extracellular recordings to investigate to which extent neurons in the visual and tactil
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Padula, Claudia B. "The Functional and Structural Neural Connectivity of Affective Processing in Alcohol Dependence: A Multimodal Imaging Study." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377869730.

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Poria, Soujanya. "Novel symbolic and machine-learning approaches for text-based and multimodal sentiment analysis." Thesis, University of Stirling, 2017. http://hdl.handle.net/1893/25396.

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Emotions and sentiments play a crucial role in our everyday lives. They aid decision-making, learning, communication, and situation awareness in human-centric environments. Over the past two decades, researchers in artificial intelligence have been attempting to endow machines with cognitive capabilities to recognize, infer, interpret and express emotions and sentiments. All such efforts can be attributed to affective computing, an interdisciplinary field spanning computer science, psychology, social sciences and cognitive science. Sentiment analysis and emotion recognition has also become a n
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Ouenniche, Kaouther. "Multimodal deep learning for audiovisual production." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS020.

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Dans le contexte en constante évolution du contenu audiovisuel, la nécessité cruciale d'automatiser l'indexation et l'organisation des archives s'est imposée comme un objectif primordial. En réponse, cette recherche explore l'utilisation de techniques d'apprentissage profond pour automatiser l'extraction de métadonnées diverses dans les archives, améliorant ainsi leur accessibilité et leur réutilisation. La première contribution de cette recherche concerne la classification des mouvements de caméra. Il s'agit d'un aspect crucial de l'indexation du contenu, car il permet une catégorisation effi
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Harris, Matthew Joshua. "Accelerating Reverse Engineering Image Processing Using FPGA." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright155535529307322.

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Gimenes, Gabriel Perri. "Advanced techniques for graph analysis: a multimodal approach over planetary-scale data." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26062015-105026/.

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Applications such as electronic commerce, computer networks, social networks, and biology (protein interaction), to name a few, have led to the production of graph-like data in planetary scale { possibly with millions of nodes and billions of edges. These applications pose challenging problems when the task is to use their data to support decision making processes by means of non-obvious and potentially useful patterns. In order to process such data for pattern discover, researchers and practitioners have used distributed processing resources organized in computational clusters. However, build
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Clark, Rebecca A. "Multimodal flavour perception : the impact of sweetness, bitterness, alcohol content and carbonation level on flavour perception." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/13432/.

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Flavour perception of food and beverages is a complex multisensory experience involving the gustatory, olfactory, trigeminal, auditory and visual senses. Thus, investigations into multimodal flavour perception require a multidisciplinary design of experiments approach. This research has focussed on beer flavour perception and the fundamental interactions between the main flavour components - sweetness, bitterness (from hop acids), alcohol content and carbonation level. A model beer was developed using representative ingredients which could be manipulated to systematically vary the concentratio
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Dean, David Brendan. "Synchronous HMMs for audio-visual speech processing." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/17689/3/David_Dean_Thesis.pdf.

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Both human perceptual studies and automaticmachine-based experiments have shown that visual information from a speaker's mouth region can improve the robustness of automatic speech processing tasks, especially in the presence of acoustic noise. By taking advantage of the complementary nature of the acoustic and visual speech information, audio-visual speech processing (AVSP) applications can work reliably in more real-world situations than would be possible with traditional acoustic speech processing applications. The two most prominent applications of AVSP for viable human-computer-interfaces
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Dean, David Brendan. "Synchronous HMMs for audio-visual speech processing." Queensland University of Technology, 2008. http://eprints.qut.edu.au/17689/.

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Both human perceptual studies and automaticmachine-based experiments have shown that visual information from a speaker's mouth region can improve the robustness of automatic speech processing tasks, especially in the presence of acoustic noise. By taking advantage of the complementary nature of the acoustic and visual speech information, audio-visual speech processing (AVSP) applications can work reliably in more real-world situations than would be possible with traditional acoustic speech processing applications. The two most prominent applications of AVSP for viable human-computer-interfaces
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Delecraz, Sébastien. "Approches jointes texte/image pour la compréhension multimodale de documents." Electronic Thesis or Diss., Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0634.

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Les mécanismes de compréhension chez l'être humain sont par essence multimodaux. Comprendre le monde qui l'entoure revient chez l'être humain à fusionner l'information issue de l'ensemble de ses récepteurs sensoriels. La plupart des documents utilisés en traitement automatique de l'information sont multimodaux. Par exemple, du texte et des images dans des documents textuels ou des images et du son dans des documents vidéo. Cependant, les traitements qui leurs sont appliqués sont le plus souvent monomodaux. Le but de cette thèse est de proposer des traitements joints s'appliquant principalement
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Warraich, Daud Sana Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Ultrasonic stochastic localization of hidden discontinuities in composites using multimodal probability beliefs." Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/43719.

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This thesis presents a technique used to stochastically estimate the location of hidden discontinuities in carbon fiber composite materials. Composites pose a challenge to signal processing because speckle noise, as a result of reflections from impregnated laminas, masks useful information and impedes detection of hidden discontinuities. Although digital signal processing techniques have been exploited to lessen speckle noise and help to localize discontinuities, uncertainty in ultrasonic wave propagation and broadband frequency based inspections of composites still make it a difficult task. T
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Toulouse, Tom. "Estimation par stéréovision multimodale de caractéristiques géométriques d’un feu de végétation en propagation." Thesis, Corte, 2015. http://www.theses.fr/2015CORT0009/document.

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Les travaux menés dans cette thèse concernent le développement d'un dispositif de vision permettant l'estimation de caractéristiques géométriques d'un feu de végétation en propagation. Ce dispositif est composé de plusieurs systèmes de stéréovision multimodaux générant des paires d'images stéréoscopiques à partir desquelles des points tridimensionnels sont calculés et les caractéristiques géométriques de feu tels que sa position, vitesse, hauteur, profondeur, inclinaison, surface et volume sont estimées. La première contribution importante de cette thèse est la détection de pixels de feu de vé
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Pérez-Rosas, Verónica. "Exploration of Visual, Acoustic, and Physiological Modalities to Complement Linguistic Representations for Sentiment Analysis." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699996/.

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This research is concerned with the identification of sentiment in multimodal content. This is of particular interest given the increasing presence of subjective multimodal content on the web and other sources, which contains a rich and vast source of people's opinions, feelings, and experiences. Despite the need for tools that can identify opinions in the presence of diverse modalities, most of current methods for sentiment analysis are designed for textual data only, and few attempts have been made to address this problem. The dissertation investigates techniques for augmenting linguistic re
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Bonazza, Pierre. "Système de sécurité biométrique multimodal par imagerie, dédié au contrôle d’accès." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK017/document.

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Les travaux de recherche de cette thèse consistent à mettre en place des solutions performantes et légères permettant de répondre aux problèmes de sécurisation de produits sensibles. Motivé par une collaboration avec différents acteurs au sein du projet Nuc-Track,le développement d'un système de sécurité biométrique, possiblement multimodal, mènera à une étude sur différentes caractéristiques biométriques telles que le visage, les empreintes digitales et le réseau vasculaire. Cette thèse sera axée sur une adéquation algorithme et architecture, dans le but de minimiser la taille de stockage des
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Mani, Gayathri. "Smells and multimodal learning: The role of congruency in the processing of olfactory, visual and verbal elements of product offerings." Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/283973.

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Smells are being included as key components of product offerings in an ever increasing number of product categories. However, this practice is guided only by intuitive beliefs that the addition of smells might lead to richer brand identities, help brand preference etc. This is because olfaction research in marketing is in its infancy while studies in branding have focused on strategies to extend a brand's existing equity rather than on issues relating to the initial formation of brand knowledge structures. Thus, there is little understanding of the processes that govern consumer learning of pr
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SIMONETTA, FEDERICO. "MUSIC INTERPRETATION ANALYSIS. A MULTIMODAL APPROACH TO SCORE-INFORMED RESYNTHESIS OF PIANO RECORDINGS." Doctoral thesis, Università degli Studi di Milano, 2022. http://hdl.handle.net/2434/918909.

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This Thesis discusses the development of technologies for the automatic resynthesis of music recordings using digital synthesizers. First, the main issue is identified in the understanding of how Music Information Processing (MIP) methods can take into consideration the influence of the acoustic context on the music performance. For this, a novel conceptual and mathematical framework named “Music Interpretation Analysis” (MIA) is presented. In the proposed framework, a distinction is made between the “performance” – the physical action of playing – and the “interpretation” – the action that
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Olsheski, Julia DeBlasio. "The role of synesthetic correspondence in intersensory binding: investigating an unrecognized confound in multimodal perception research." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50215.

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The current program of research tests the following main hypotheses: 1) Synesthetic correspondence is an amodal property that serves to bind intersensory signals and manipulating this correspondence between pairs of audiovisual signals will affect performance on a temporal order judgment (TOJ) task; 2) Manipulating emphasis during a TOJ task from spatial to temporal aspects will strengthen the influence of task-irrelevant auditory signals; 3) The degree of dimensional overlap between audiovisual pairs will moderate the effect of synesthetic correspondence on the TOJ task; and 4) There are gaps
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Meseguer, Brocal Gabriel. "Multimodal analysis : informed content estimation and audio source separation." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS111.

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Cette thèse propose l'étude de l'apprentissage multimodal dans le contexte de signaux musicaux. Tout au long de ce manuscrit, nous nous concentrerons sur l'interaction entre les signaux audio et les informations textuelles. Parmi les nombreuses sources de texte liées à la musique qui peuvent être utilisées (par exemple les critiques, les métadonnées ou les commentaires des réseaux sociaux), nous nous concentrerons sur les paroles. La voix chantée relie directement le signal audio et les informations textuelles d'une manière unique, combinant mélodie et paroles où une dimension linguistique com
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Calumby, Rodrigo Tripodi 1985. "Recuperação multimodal de imagens com realimentação de relevância baseada em programação genética." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275814.

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Orientador: Ricardo da Silva Torres<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-16T05:18:58Z (GMT). No. of bitstreams: 1 Calumby_RodrigoTripodi_M.pdf: 15749586 bytes, checksum: 2493b0b703adc1973eeabf7eb70ad21c (MD5) Previous issue date: 2010<br>Resumo: Este trabalho apresenta uma abordagem para recuperação multimodal de imagens com realimentação de relevância baseada em programação genética. Supõe-se que cada imagem da coleção possui informação textual associada (metadado, descrição textual, etc.), além de ter
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Mozaffari, Maaref Mohammad Hamed. "A Real-Time and Automatic Ultrasound-Enhanced Multimodal Second Language Training System: A Deep Learning Approach." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40477.

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The critical role of language pronunciation in communicative competence is significant, especially for second language learners. Despite renewed awareness of the importance of articulation, it remains a challenge for instructors to handle the pronunciation needs of language learners. There are relatively scarce pedagogical tools for pronunciation teaching and learning, such as inefficient, traditional pronunciation instructions like listening and repeating. Recently, electronic visual feedback (EVF) systems (e.g., medical ultrasound imaging) have been exploited in new approaches in such a way
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45

Abi, kanaan Marianne. "AI-Enhanced Emergency Call Handling : Development of Multimodal Machine Learning Models." Electronic Thesis or Diss., Besançon, Université Marie et Louis Pasteur, 2025. http://www.theses.fr/2025PAST2003.

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Les centres d’appels d’urgence jouent un rôle essentiel dans la gestion des situations de crise, car ils sont les intervenants de première ligne qui facilitent l’intervention, déterminant souvent la différence entre la vie et la mort. Les progrès récents et rapides de l’intelligence artificielle (IA) ne peuvent être négligés, car ils ont ouvert de nouveaux horizons pour améliorer les capacités des services d’urgence. Avec des applications d’IA adéquates, il est possible d’aider les centres d’appels d’urgence à améliorer l’efficacité et la précision de la gestion des urgences, sauvant ainsi pot
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46

Itani, Sara T. "EduCase : an automated lecture video recording, post-processing, and viewing system that utilizes multimodal inputs to provide a dynamic student experience." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85426.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 59).<br>This thesis describes the design, implementation, and evaluation of EduCase: an inexpensive automated lecture video recording, post-processing, and viewing system. The EduCase recording system consists of three devices, one per lecture hall board. Each recording device records color, depth, skeletal, and audio inputs. The Post-Processor automatically processes the recordings to prod
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Mitra, Jhimli. "Multimodal Image Registration applied to Magnetic Resonance and Ultrasound Prostatic Images." Phd thesis, Université de Bourgogne, 2012. http://tel.archives-ouvertes.fr/tel-00786032.

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This thesis investigates the employment of different deformable registration techniques to register pre-operative magnetic resonance and inter-operative ultrasound images during prostate biopsy. Accurate registration ensures appropriate biopsy sampling of malignant prostate tissues and reduces the rate of re-biopsies. Therefore, we provide comparisons and experimental results for some landmark- and intensity-based registration methods: thin-plate splines, free-form deformation with B-splines. The primary contribution of this thesis is a new spline-based diffeomorphic registration framework for
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Rabhi, Sara. "Optimized deep learning-based multimodal method for irregular medical timestamped data." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS003.

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L'adoption des dossiers médicaux électroniques dans les systèmes d'information des hôpitaux a conduit à la définition de bases de données regroupant divers types de données telles que des notes cliniques textuelles, des événements médicaux longitudinaux et des informations statiques sur les patients. Toutefois, les données ne sont renseignées que lors des consultations médicales ou des séjours hospitaliers. La fréquence de ces visites varie selon l’état de santé du patient. Ainsi, un système capable d'exploiter les différents types de données collectées à différentes échelles de temps est esse
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Prates, Jonathan Simon. "Gerenciamento de diálogo baseado em modelo cognitivo para sistemas de interação multimodal." Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/3348.

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Submitted by Maicon Juliano Schmidt (maicons) on 2015-04-24T13:06:47Z No. of bitstreams: 1 Jonathan Simon Prates.pdf: 2514736 bytes, checksum: 58b7bca77d32ecba8467a3e3a533d2a0 (MD5)<br>Made available in DSpace on 2015-04-24T13:06:48Z (GMT). No. of bitstreams: 1 Jonathan Simon Prates.pdf: 2514736 bytes, checksum: 58b7bca77d32ecba8467a3e3a533d2a0 (MD5) Previous issue date: 2015-01-31<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Os Sistemas de Interação Multimodal possibilitam uma utilização mais amigável dos sistemas de computação. Eles permitem que os usuários
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Leong, Chee Wee. "Modeling Synergistic Relationships Between Words and Images." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc177223/.

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Texts and images provide alternative, yet orthogonal views of the same underlying cognitive concept. By uncovering synergistic, semantic relationships that exist between words and images, I am working to develop novel techniques that can help improve tasks in natural language processing, as well as effective models for text-to-image synthesis, image retrieval, and automatic image annotation. Specifically, in my dissertation, I will explore the interoperability of features between language and vision tasks. In the first part, I will show how it is possible to apply features generated using evid
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