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Dissertations / Theses on the topic 'Attention based models'

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Published: 24 June 2021

Last updated: 29 July 2025

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1

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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Saifullah, Mohammad. "Biologically-Based Interactive Neural Network Models for Visual Attention and Object Recognition." Doctoral thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79336.

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The main focus of this thesis is to develop biologically-based computational models for object recognition. A series of models for attention and object recognition were developed in the order of increasing functionality and complexity. These models are based on information processing in the primate brain, and specially inspired from the theory of visual information processing along the two parallel processing pathways of the primate visual cortex. To capture the true essence of incremental, constraint satisfaction style processing in the visual system, interactive neural networks were used for

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3

Borba, Gustavo Benvenutti. "Automatic extraction of regions of interest from images based on visual attention models." Universidade Tecnológica Federal do Paraná, 2010. http://repositorio.utfpr.edu.br/jspui/handle/1/1295.

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UOL; CAPES<br>Esta tese apresenta um método para a extração de regiões de interesse (ROIs) de imagens. No contexto deste trabalho, ROIs são definidas como os objetos semânticos que se destacam em uma imagem, podendo apresentar qualquer tamanho ou localização. O novo método baseia-se em modelos computacionais de atenção visual (VA), opera de forma completamente bottom-up, não supervisionada e não apresenta restrições com relação à categoria da imagem de entrada. Os elementos centrais da arquitetura são os modelos de VA propostos por Itti-Koch-Niebur e Stentiford. O modelo de Itti-Koch-Niebur co

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Kliegl, Reinhold, Ping Wei, Michael Dambacher, Ming Yan, and Xiaolin Zhou. "Experimental effects and individual differences in linear mixed models: Estimating the relationship between spatial, object, and attraction effects in visual attention." Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2011/5685/.

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Linear mixed models (LMMs) provide a still underused methodological perspective on combining experimental and individual-differences research. Here we illustrate this approach with two-rectangle cueing in visual attention (Egly et al., 1994). We replicated previous experimental cue-validity effects relating to a spatial shift of attention within an object (spatial effect), to attention switch between objects (object effect), and to the attraction of attention toward the display centroid (attraction effect), also taking into account the design-inherent imbalance of valid and other trials. We si

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Dimitriadis, Spyridon. "Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177186.

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With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. In this thesis, a novel approach for multi-task regression using a text-based Transformer model is introduced and thoroughly explored for training on a number of properties or activities simultaneously. This multi-task regression with Transformer

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Holmström, Oskar. "Exploring Transformer-Based Contextual Knowledge Graph Embeddings : How the Design of the Attention Mask and the Input Structure Affect Learning in Transformer Models." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175400.

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The availability and use of knowledge graphs have become commonplace as a compact storage of information and for lookup of facts. However, the discrete representation makes the knowledge graph unavailable for tasks that need a continuous representation, such as predicting relationships between entities, where the most probable relationship needs to be found. The need for a continuous representation has spurred the development of knowledge graph embeddings. The idea is to position the entities of the graph relative to each other in a continuous low-dimensional vector space, so that their relati

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7

Klamser, Pascal. "Collective Information Processing and Criticality, Evolution and Limited Attention." Doctoral thesis, Humboldt-Universität zu Berlin, 2021. http://dx.doi.org/10.18452/23099.

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Im ersten Teil analysiere ich die Selbstorganisation zur Kritikalität (hier ein Phasenübergang von Ordnung zu Unordnung) und untersuche, ob Evolution ein möglicher Organisationsmechanismus ist. Die Kernfrage ist, ob sich ein simulierter kohäsiver Schwarm, der versucht, einem Raubtier auszuweichen, durch Evolution selbst zum kritischen Punkt entwickelt, um das Ausweichen zu optimieren? Es stellt sich heraus, dass (i) die Gruppe den Jäger am besten am kritischen Punkt vermeidet, aber (ii) nicht durch einer verstärkten Reaktion, sondern durch strukturelle Veränderungen, (iii) das Gruppenoptimum

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Wennerholm, Pia. "The Role of High-Level Reasoning and Rule-Based Representations in the Inverse Base-Rate Effect." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Universitetsbiblioteket [distributör], 2001. http://publications.uu.se/theses/91-554-5178-0/.

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9

Desai, Anver. "Policy agenda-setting and the use of analytical agenda-setting models for school sport and physical education in South Africa." Thesis, University of the Western Cape, 2011. http://hdl.handle.net/11394/3596.

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This study focused on policy agenda-setting models for school sport and physical education in South Africa. The primary objective was to assess and propose options for improved agenda-setting by focussing on the use of agenda-setting models and by applying it to physical education and school sport and the policy agenda of the national government. The study has shown that pertinent school sport and physical education policy issues, as supported by key role-players and principal actors, were initially not placed on the formal policy agenda of government during the research investigation period (

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10

Garagnani, Max. "Understanding language and attention : brain-based model and neurophysiological experiments." Thesis, University of Cambridge, 2009. https://www.repository.cam.ac.uk/handle/1810/243852.

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This work concerns the investigation of the neuronal mechanisms at the basis of language acquisition and processing, and the complex interactions of language and attention processes in the human brain. In particular, this research was motivated by two sets of existing neurophysiological data which cannot be reconciled on the basis of current psycholinguistic accounts: on the one hand, the N400, a robust index of lexico-semantic processing which emerges at around 400ms after stimulus onset in attention demanding tasks and is larger for senseless materials (meaningless pseudowords) than for matc

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Ungruh, Joachim. "A neurally based vision model for line extraction and attention." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/8303.

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Paulin, Rémi. "human-robot motion : an attention-based approach." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM018.

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Pour les robots mobiles autonomes conçus pour partager notre environnement, la sécurité et l'efficacité de leur trajectoire ne sont pas les seuls aspects à prendre en compte pour la planification de leur mouvement: ils doivent respecter des règles sociales afin de ne pas gêner les personnes environnantes. Dans un tel contexte social, la plupart des techniques de planification de mouvement actuelles s'appuient fortement sur le concept d'espaces sociaux; de tels espaces sociaux sont cependant difficiles à modéliser et ils sont d'une utilisation limitée dans le contexte d'interactions homme-robot

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13

Brown, Ross A. "Image synthesis based on a model of human vision." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/31368/1/31368.pdf.

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Modern computer graphics systems are able to construct renderings of such high quality that viewers are deceived into regarding the images as coming from a photographic source. Large amounts of computing resources are expended in this rendering process, using complex mathematical models of lighting and shading. However, psychophysical experiments have revealed that viewers only regard certain informative regions within a presented image. Furthermore, it has been shown that these visually important regions contain low-level visual feature differences that attract the attention of the viewer.

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Lanyon, Linda Jane. "A biased competition computational model of spatial and object-based attention mediating active visual search." Thesis, University of Plymouth, 2005. http://hdl.handle.net/10026.1/1917.

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A computational cognitive neuroscience approach was used to examine processes of visual attention in the human and monkey brain. The aim of the work was to produce a biologically plausible neurodynamical model of both spatial and object-based attention that accounted for observations in monkey visual areas V4, inferior temporal cortex (IT) and the lateral intraparietal area (LIP), and was able to produce search scan path behaviour similar to that observed in humans and monkeys. Of particular interest currently in the visual attention literature is the biased competition hypothesis (Desimone &a

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15

Harrison, David Graham. "A computational dynamical model of human visual cortex for visual search and feature-based attention." Thesis, University of Leeds, 2012. http://etheses.whiterose.ac.uk/4878/.

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Visual attention can be deployed to locations within the visual array (spatial attention), to individual features such as colour and form (feature-based attention), or to entire objects (object-based attention). Objects are composed of features to form a perceived ‘whole’. This compositional object representation reduces the storage demands by avoiding the need to store every type of object experienced. However, this approach exposes a problem of binding these constituent features (e.g. form and colour) into objects. The problem is made explicit in the higher areas of the ventral stream as inf

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Wischnewski, Marco [Verfasser]. "Where to look next? : Proto-object based priority in a TVA-based model of visual attention / Marco Wischnewski. Technische Fakultät." Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2012. http://d-nb.info/1022614347/34.

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Tuggle, Christopher Scott. "Attending to opportunity: an attention-based model of how boards of directors impact strategic entrepreneurship in established enterprise." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1382.

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Using the attention-based view, this study is concerned with two levels of board of directors interaction relating to strategic entrepreneurship: (1) how individual board members may affect the attention of the entire board, and (2) how the board may affect the attention and resource allocation of the firm. Unique to prior literature, this study considers contextual factors at each level of interaction and views the board room communications through unprecedented access. Multiple regression and negative binomial regression analyses are used to test the theoretical hypotheses.

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Nishikimi, Ryo. "Generative, Discriminative, and Hybrid Approaches to Audio-to-Score Automatic Singing Transcription." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263772.

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19

Niemann, Julia [Verfasser], and Sebastian [Akademischer Betreuer] Möller. "Designing Speech Output for In-car Infotainment Applications Based on a Cognitive Model of Attention Allocation / Julia Niemann. Betreuer: Sebastian Möller." Berlin : Technische Universität Berlin, 2013. http://d-nb.info/1065148135/34.

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Ma, Xiren. "Deep Learning-Based Vehicle Recognition Schemes for Intelligent Transportation Systems." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42247.

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With the increasing highlighted security concerns in Intelligent Transportation System (ITS), Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention recently. A comprehensive VAVR system contains three components: Vehicle Detection (VD), Vehicle Make and Model Recognition (VMMR), and Vehicle Re-identification (VReID). These components perform coarse-to-fine recognition tasks in three steps. The VAVR system can be widely used in suspicious vehicle recognition, urban traffic monitoring, and automated driving system. Vehicle recognition is complicated due to the su

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21

Montella, Sébastien, and 李胤龍. "Emotionally-Triggered Short Text Conversation using Attention-Based Sequence Generation Models." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/hfpcxx.

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碩士<br>國立中央大學<br>資訊工程學系<br>107<br>Emotional Intelligence is a field from which awareness is heavily being raised. Coupled with language generation, one expects to further humanize the machine and be a step closer to the user by generating responses that are consistent with a specific emotion. The analysis of sentiment within documents or sentences have been widely studied and improved while the generation of emotional content remains under-researched. Meanwhile, generative models have recently known series of improvements thanks to Generative Adversarial Network (GAN). Promising results are fre

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Olds, Christopher Paul. "Essays on the Impact of Presidential and Media-Based Usage of Anxiety-Producing Rhetoric on Dynamic Issue Attention." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10224.

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The intention of the project is to determine whether political elites have to discuss an issue using a specific emotional tone before the public and other political elites consider that issue a problem. Research has not yet demonstrated under what conditions elite rhetorical cues can heighten issue attention. Past studies have suggested that an increase in the absolute intensity of elite issue discussion can heighten perceptions of an issue as a problem. The problem with this notion is that within that absolute issue discussion, elites might simply be repeatedly saying conditions related to an

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Xu, Kelvin. "Exploring Attention Based Model for Captioning Images." Thèse, 2017. http://hdl.handle.net/1866/20194.

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Lin, Kai-Chun, and 林凱君. "Multi-Scale Attention Model Based Object Detection." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/dhx3et.

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碩士<br>國立中央大學<br>資訊工程學系<br>106<br>In recent years, deep learning plays an important role in Artificial Intelligence, which Convolutional Neural Network(CNN) has a breakthrough performance comparing with the traditional methods in image classification. Object detection is the popular issue in the image processing, and it has a lot of applications in our life, include face detection, pedestrian detection which can be used in self-driving car and the self-service store need the object detection application in product detection. There were lots of object detection research published in the world. O

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Kuo, Tzu-Ling, and 郭姿玲. "Object Detection Methods Based on the Visual Attention Model." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/70496622830022269223.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>96<br>Human visual attention system is a popular topic in recent years. The human visual attention system addresses the situation of computational implementation of intentional attention in the human vision. The human visual attention system is widely applied in the design of robot or automatic intelligence. In many researches, implementations about object segmentations, object recognitions, and object detections are proposed more and more frequently. In this thesis, we mainly display two methods and implementations to simulate the human visual attention model. The

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Ji, Xian-Wei, and 紀憲緯. "Video Quality Enhancement Technique Based on Visual Attention Model." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/09901577145709604192.

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碩士<br>大葉大學<br>資訊工程學系碩士班<br>103<br>In this thesis, we proposed a video quality enhancement scheme based on visual attention model to deal with low- and high-exposure videos. The proposed scheme is composed of five parts: pre-processing, visual attention model, multilevel exposure correction, data fusion, and post-processing. To make the proposed scheme easily measure visual cues of each frame, the pre-processing procedure is used to coarsely modify each input frame. After pre-processing, visual attention model is used to extract visual features of each frame and then we conducted multi-level ex

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Kuo, Tzu-Ling. "Object Detection Methods Based on the Visual Attention Model." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2207200817531900.

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Wang, Hao-Cheng, and 王浩丞. "An Attention-based Neural Network Model for Interest Shift Prediction." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/j879jw.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>105<br>Recommendation systems have mainly dealt with the problem of recommending items to fit user preferences, while the dynamicity of user interest is not fully considered. We observe that music streaming platforms like YouTube always recommend songs that either from the same artist or with the same title, assuming that users have a static interest in similar items, but ignore the fact that we get satiated easily with repeated consumptions. To provide a more appealing user experience, recent developments in recommendation system have focused on introducing novelty

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Wu, Chao-Chung, and 吳肇中. "An Attention Based Neural Network Model for Unsupervised Lyrics Rewriting." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/w4bcnv.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>106<br>Creative writing has become a standard task to showcase the power of artificial intelligence. This work tackles a challenging task in this area, the lyrics rewriting. This task possesses several unique challenges. First, we require the outputs to be not only semantically correlated with the original lyrics, but also coherent in segmentation structure, rhyme as the rewritten lyrics must be performed by the artist with the same music. Second, there is no parallel rewriting lyrics corpus available for supervised training. We propose a deep neural network based m

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CHEN, LI-TENG, and 陳立騰. "Image Caption Generation Based on Deep Learning and Visual Attention Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/v6g3tp.

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碩士<br>國立雲林科技大學<br>電機工程系<br>106<br>In this thesis, we develop an image caption generation based on deep learning and visual attention model. This system is composed of several parts: object detection, saliency computation, and image caption generation. In the object detection part, a deep learning technique, Faster R-CNN, is used to detect and classify objects in images. A pre-trained model can classify 80 categories for image classification. In the saliency computation, the pre-training model proposed in [8] is to compute the saliency value of each ROI image. According to category information

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Hsu, Chih-Jung, and 徐志榮. "Predicting Transportation Demand based on AR-LSTMs Model with Multi-Head Attention." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/j7pg8k.

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碩士<br>國立中央大學<br>軟體工程研究所<br>107<br>Smart transportation is a crucial issue for a smart city, and the forecast for taxi demand is one of the important topics in smart transportation. If we can effectively predict the taxi demand in the near future, we may be able to reduce the taxi vacancy rate, reduce the waiting time of the passengers, increase the number of trip counts for a taxi, expand driver’s income, and diminish the power consumption and pollution caused by vehicle dispatches. This paper proposes an efficient taxi demand prediction model based on state-of-the-art deep learning architect

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Nai-wen, Guo (also Kuo), and 郭乃文. "Cognitive Neuropsychology on the assessment model of attention－A study on the Cohen-based model." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/90578210665086172263.

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HUANG, WEN-SHENG, and 黃玟勝. "Hash code generation based on deep learning and visual attention model for image retrieval." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/er59ds.

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碩士<br>國立雲林科技大學<br>電機工程系<br>106<br>In this thesis, we develop a hash code generation based on deep learning and visual attention model for image retrieval. This system is composed of several parts: object detection, saliency computation, and hash code generation. In the object detection part, a deep learning technique, Faster R-CNN, is used to detect and classify objects in images. A pre-trained model can classify 20 categories for image classification. In the saliency computation, the pre-training model proposed in [26] is to compute the saliency value of each object. According to category inf

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Lai, Szu-Chin, and 賴思瑾. "Effects of Banner Advertisements Presentation Modes Changing on User Visual Attention.- Based on Schema Theory." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/4shzwh.

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碩士<br>中國文化大學<br>國際貿易學系<br>104<br>Banner is the most common way to advertise on the Internet. Previous studies suggested that consumers seem to avoid looking at banners when they visit the website. For consumers, the frame of website has already become a schema in their brain and made them ignore unimportant information in their visual field. Nowadays, in the advanced networking, we need to consider that the problem: how to make them look at the banner again and increase the internet advertising effect.There are two purposes in the present study. Firstly, do participants get higher gaze behavio

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Shih, Yu-chen, and 施妤蓁. "A School-Based Model of Screening & Therapy of Junior High School Students with Attention Deficit/Hyperactivity Disorders." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/70319314995549267019.

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碩士<br>國立成功大學<br>行為醫學研究所<br>97<br>Objective： This study expects to develop a simple attention-screening questionnaire (The Student Attention Rating Scale) and establish a model to screen and intervene the students with ADHD in junior high schools. The study also assesses the attention deficit patterns on those teenagers with ADHD and explores the prevalence of ADHD subtypes. Finally, the study develops a pilot training program to assist adolescent with ADHD to improve attention performance. Method：At the beginning, there were 675 7th grade students participating the primary screening by using T

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Nadeau, Marie-France. "Élaboration et validation empirique d'un modèle de consultation individuelle auprès des enseignants afin de favoriser l'inclusion scolaire des enfants ayant un TDAH." Thèse, 2010. http://hdl.handle.net/1866/4850.

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Les interventions proactives ou comportementales en classe sont reconnues empiriquement pour leur efficacité à améliorer le comportement ou le rendement scolaire des enfants ayant un TDAH (DuPaul & Eckert, 1997; Hoza, Kaiser, & Hurt, 2008; Pelham & Fabiano, 2008; Zentall, 2005). Or, l’écart entre les interventions probantes et celles retrouvées dans le milieu général de l’éducation souligne l’importance de répliquer les résultats d’études obtenus dans un environnement contrôlé dans un format de livraison réaliste. L’objectif principal de cette thèse est d’élaborer et d’évaluer un programme de

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