Academic literature on the topic 'Bottom up and top down attention'

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Journal articles on the topic "Bottom up and top down attention"

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Katsuki, Fumi, and Christos Constantinidis. "Bottom-Up and Top-Down Attention." Neuroscientist 20, no. 5 (2013): 509–21. http://dx.doi.org/10.1177/1073858413514136.

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Inomjonovna, Mannonova Shahnoza. "BOTTOM-UP AND TOP-DOWN APPROACHES IN ENGLISH LESSONS." CURRENT RESEARCH JOURNAL OF PHILOLOGICAL SCIENCES 02, no. 12 (2021): 155–60. http://dx.doi.org/10.37547/philological-crjps-02-12-30.

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Top-down and bottom-up approach are essential in teaching English, especially reading and listening. In teaching English at academic lyceums and schools it is required using both of them in order to increase the level effectiveness of learning new theme. Top-down processing leads the learners to have the general idea first and eventually into the details. Bottom-up approach pays attention to small units in the text or listening first and from details to the main idea of the text. The purpose of this article is to give detailed description of top-down and bottom-up approaches and an example of
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Connor, Charles E., Howard E. Egeth, and Steven Yantis. "Visual Attention: Bottom-Up Versus Top-Down." Current Biology 14, no. 19 (2004): R850—R852. http://dx.doi.org/10.1016/j.cub.2004.09.041.

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Pinto, Y., A. R. van der Leij, I. G. Sligte, V. A. F. Lamme, and H. S. Scholte. "Bottom-up and top-down attention are independent." Journal of Vision 13, no. 3 (2013): 16. http://dx.doi.org/10.1167/13.3.16.

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Tse, Peter, Peter Kohler, Eric Reavis, LiWei Sun, Kevin Hartstein, and Gideon Caplovitz. "How Top-down Attention Alters Bottom-up preconscious operations." Journal of Vision 18, no. 10 (2018): 984. http://dx.doi.org/10.1167/18.10.984.

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Wykowska, Agnieszka, and Anna Schubö. "On the Temporal Relation of Top–Down and Bottom–Up Mechanisms during Guidance of Attention." Journal of Cognitive Neuroscience 22, no. 4 (2010): 640–54. http://dx.doi.org/10.1162/jocn.2009.21222.

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Two mechanisms are said to be responsible for guiding focal attention in visual selection: bottom–up, saliency-driven capture and top–down control. These mechanisms were examined with a paradigm that combined a visual search task with postdisplay probe detection. Two SOAs between the search display and probe onsets were introduced to investigate how attention was allocated to particular items at different points in time. The dynamic interplay between bottom–up and top–down mechanisms was investigated with ERP methodology. ERPs locked to the search displays showed that top–down control needed t
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Vanunu, Yonatan, Jared M. Hotaling, Mike E. Le Pelley, and Ben R. Newell. "How top-down and bottom-up attention modulate risky choice." Proceedings of the National Academy of Sciences 118, no. 39 (2021): e2025646118. http://dx.doi.org/10.1073/pnas.2025646118.

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We examine how bottom-up (or stimulus-driven) and top-down (or goal-driven) processes govern the distribution of attention in risky choice. In three experiments, participants chose between a certain payoff and the chance of receiving a payoff drawn randomly from an array of eight numbers. We tested the hypothesis that initial attention is driven by perceptual properties of the stimulus (e.g., font size of the numbers), but subsequent choice is goal-driven (e.g., win the best outcome). Two experiments in which task framing (goal driven) and font size (stimulus driven) were manipulated demonstra
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Wasserman, Gerald S., Amanda R. Bolbecker, Jia Li, and Corrinne C. M. Lim-Kessler. "A Top–Down and Bottom–Up Component of Visual Attention." Cognitive Computation 3, no. 1 (2010): 294–302. http://dx.doi.org/10.1007/s12559-010-9058-z.

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Pang, Bo, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, and Cewu Lu. "TDAF: Top-Down Attention Framework for Vision Tasks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (2021): 2384–92. http://dx.doi.org/10.1609/aaai.v35i3.16339.

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Human attention mechanisms often work in a top-down manner, yet it is not well explored in vision research. Here, we propose the Top-Down Attention Framework (TDAF) to capture top-down attentions, which can be easily adopted in most existing models. The designed Recursive Dual-Directional Nested Structure in it forms two sets of orthogonal paths, recursive and structural ones, where bottom-up spatial features and top-down attention features are extracted respectively. Such spatial and attention features are nested deeply, therefore, the proposed framework works in a mixed top-down and bottom-u
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Riddle, Justin, Kai Hwang, Dillan Cellier, Sofia Dhanani, and Mark D'Esposito. "Causal Evidence for the Role of Neuronal Oscillations in Top–Down and Bottom–Up Attention." Journal of Cognitive Neuroscience 31, no. 5 (2019): 768–79. http://dx.doi.org/10.1162/jocn_a_01376.

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Beta and gamma frequency neuronal oscillations have been implicated in top–down and bottom–up attention. In this study, we used rhythmic TMS to modulate ongoing beta and gamma frequency neuronal oscillations in frontal and parietal cortex while human participants performed a visual search task that manipulates bottom–up and top–down attention (single feature and conjunction search). Both task conditions will engage bottom–up attention processes, although the conjunction search condition will require more top–down attention. Gamma frequency TMS to superior precentral sulcus (sPCS) slowed saccad
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Dissertations / Theses on the topic "Bottom up and top down attention"

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Itti, Laurent Koch Christof. "Models of bottom-up and top-down visual attention /." Diss., Pasadena, Calif. : California Institute of Technology, 2000. http://resolver.caltech.edu/CaltechETD:etd-12022005-103530.

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Bahrami, Balani Alex. "Top-down and bottom-up modulation of selective attention and the role of working memory." Thesis, University of Birmingham, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532266.

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Benicasa, Alcides Xavier. "Sistemas computacionais para atenção visual Top-Down e Bottom-up usando redes neurais artificiais." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-29042014-162209/.

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A análise de cenas complexas por computadores não é uma tarefa trivial, entretanto, o cérebro humano pode realizar esta função de maneira eficiente. A evolução natural tem desenvolvido formas para otimizar nosso sistema visual de modo que apenas partes importantes da cena sejam analisadas a cada instante. Este mecanismo de seleção é denominado por atenção visual. A atenção visual opera sob dois aspectos: bottom-up e top-down. A atenção bottom-up é dirigida por conspicuidades baseadas na cena, como o contraste de cores, orientação, etc. Por outro lado, a atenção top-down é controlada por tarefa
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Matusz, Pawel Jerzy. "The role of multisensory integration in the bottom-up and top-down control of attentional object selection." Thesis, Birkbeck (University of London), 2013. http://bbktheses.da.ulcc.ac.uk/27/.

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Selective spatial attention and multisensory integration have been traditionally considered as separate domains in psychology and cognitive neuroscience. However, theoretical and methodological advancements in the last two decades have paved the way for studying different types of interactions between spatial attention and multisensory integration. In the present thesis, two types of such interactions are investigated. In the first part of the thesis, the role of audiovisual synchrony as a source of bottom-up bias in visual selection was investigated. In six out of seven experiments, a variant
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Johansson, Martin. "Visual Attentional Capture Resists Modulation in Singleton Search under Verbal Working Memory Load." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12321.

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Visual attentional capture is a form of visual attentional selection that is automatic and involuntary in nature, and is of high adaptive value as it allows visual attention to be oriented in a reflexive manner towards visual information without necessarily being guided by pre-existing knowledge, goals, and plans. According to the load-hypothesis (Lavie & De Fockert, 2005), attentional capture of salient stimuli increases under load on working memory due to disruption of stimulus-processing priorities. Moreover, it has been proposed that maintenance of task-irrelevant verbal information in
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Neves, Evelina Maria de Almeida. "Estratégia atencional para busca visual e reconhecimento invariante de objetos baseada na integração de características bottom-up e top-down." Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-14032014-103419/.

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Uma das tarefas básicas dos mecanismos atencionais é decidir qual a localização dentro do campo visual, em que devemos prestar atenção primeiro. Um objeto que contenha características distintas, tais como orientação, forma, cor, tamanho, brilho, textura, etc. diferentes, pode atrair a atenção de uma maneira \"bottom-up\". A informação \"top-down\" baseia-se no conhecimento prévio e tem uma grande influência nas localizações atendidas. Inspirado nos mecanismos da Atenção Visual Humana, embora sem a pretensão de simulá-la, este trabalho prevê o desenvolvimento de uma nova metodologia que integra
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Petzold, Antje. "An fMRI Study on Context‐Dependent Processing of Natural Visual Scenes." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-24939.

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Visual attention can be voluntarily focused on a location or automatically attracted by salient features in a visual scene. Studies using functional Magnetic Resonance Imaging (fMRI) suggest two networks of visual attention involved in these complementary mechanisms: a dorsal frontoparietal network and a ventral frontoparietal network of visuospatial attention respectively. However, most studies so far have applied non‐natural schematic stimuli. The present study investigates visual attention in images of natural environmental scenes. Adopting previously used eye‐tracker paradigms, we study t
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Pápai, Márta Szabina 1987. "Behavioral and electrophysiological correlates of cross-modal enhancement for unaware visual events." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/664283.

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Diariamente recibimos mucha información que procede simultáneamente de distintos sentidos, que se combina en el cerebro para conseguir una respuesta rápida y precisa. Muchas veces, esto ocurre mediante la integración multisensorial. Sin embargo, ¿puede darse integración multisensorial en situaciones de emergencia, aunque los recursos cognitivos son ocupados? Para resolver esta cuestión, utilizamos estímulos audiovisuales presentados de forma repentina, sin contenido informativo en un paradigma de rivalidad binocular. Esto nos permitió medir la integración de abajo a arriba en una situación cua
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Giacaglia, Giuliano Pezzolo. "Integrating bottom-up and top-down information." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91813.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 69-70).<br>In this thesis I present a framework for integrating bottom-up and top-down computer vision algorithms. I developed this framework, which I call the Map-Dictionary Pixel framework, because my intuition is that there is a need for tools that make it easier to build computer vision systems that mimic the way human visual systems process information. In particular, we humans humans
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Burke, Madeline Jane. "Top-down and bottom-up approaches to tissue engineering." Thesis, University of Bristol, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720837.

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Books on the topic "Bottom up and top down attention"

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Fisher, Roy. Top down bottom up. Circle Press, 1990.

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Marilyn, Taylor. Top down meets bottom up: Neighbourhood management. Joseph Rowntree Foundation, 2000.

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Totzauer, Florian. Top-down- und Bottom-up-Ansätze im Innovationsmanagement. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-06841-7.

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Johnson, H. Thomas. Relevance regained: From top-down control to bottom-up empowerment. Free Press, 1992.

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1959-, Winsor John, ed. Flipped: How bottom-up co-creation is replacing top-down innovation. B2 Books, 2010.

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Ironside, R. G. The Alberta forest products industry: Top-down initiatives--bottom-up problems. Lakehead Centre for Northern Studies, 1990.

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Winsor, John. Flipped: How bottom-up co-creation is replacing top-down innovation. B2 Books, 2010.

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Soewignjo, Ignatius. Hubungan pusat dan daerah dilihat dari pendekatan "bottom-up & top-down". Markas Besar Angkatan Bersenjata, Republik Indonesia, Lembaga Pertahanan Nasional, 1992.

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Hunt, Martina. 'Top-down' - 'bottom-up'?: A study of women's participation in NGOs in Kyrgyzstan. INTRAC, 2001.

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Reid, Valerie. From top down to bottom up: A New Zealand guide to financial jargon. Shoal Bay Press, 1996.

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Book chapters on the topic "Bottom up and top down attention"

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Pessa, Eliano. "Bottom-Up and Top-Down Mechanisms." In Visual Attention Mechanisms. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0111-4_6.

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Mancas, Matei. "Relative Influence of Bottom-Up and Top-Down Attention." In Attention in Cognitive Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00582-4_16.

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Jasso, Hector, and Jochen Triesch. "Learning to Attend — From Bottom-Up to Top-Down." In Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77343-6_7.

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Rasolzadeh, Babak, Alireza Tavakoli Targhi, and Jan-Olof Eklundh. "An Attentional System Combining Top-Down and Bottom-Up Influences." In Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77343-6_8.

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Henderickx, David, Kathleen Maetens, Thomas Geerinck, and Eric Soetens. "Modeling the Interactions of Bottom-Up and Top-Down Guidance in Visual Attention." In Attention in Cognitive Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00582-4_15.

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Wang, Jinpeng, and Andy J. Ma. "Spatial-Temporal Bottom-Up Top-Down Attention Model for Action Recognition." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34120-6_7.

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Wasserman, Theodore, and Lori Drucker Wasserman. "Top-Down, Bottom-Up Attentional Processing. The Traditional View." In Neural Network Model: Applications and Implications. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78732-4_6.

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Zhang, Ke, Xiao Li, and Gong Cheng. "Diagram Question Answering with Joint Training and Bottom-Up and Top-Down Attention." In Communications in Computer and Information Science. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8300-9_8.

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Shepherd, Dean A., and Holger Patzelt. "Attending to the External Environment to Identify Potential Opportunities." In Entrepreneurial Strategy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78935-0_1.

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AbstractBuilding on a recent study (Shepherd et al. in Strategic Management Journal 38:626–644, 2017), this chapter highlights the importance of noticingopportunities as an initial step toward new venture creation. Unsurprisingly, there has been considerable interest in the processes of allocating attention to notice potential opportunities arising from changes in the external environment. We know a great deal about the role of top-down (i.e., based on knowledge and experience) processes of allocating attention to the environment in forming opportunity beliefs worthy of entrepreneurial action.
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Okamoto, Hidehiko, Henning Stracke, Lothar Lagemann, and Christo Pantev. "Bottom-Up and Top-Down Driven Attentional Effects on Auditory Evoked Fields." In IFMBE Proceedings. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12197-5_74.

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Conference papers on the topic "Bottom up and top down attention"

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Kalluri, Tarun, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, and Du Tran. "Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00275.

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Shi, Jiayin, and Chao Ma. "Unsupervised Sounding Object Localization with Bottom-Up and Top-Down Attention." In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2022. http://dx.doi.org/10.1109/wacv51458.2022.00222.

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Navalpakkam, Vidhya, and Laurent Itti. "Combining bottom-up and top-down attentional influences." In Electronic Imaging 2006, edited by Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Scott J. Daly. SPIE, 2006. http://dx.doi.org/10.1117/12.674148.

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Anderson, Peter, Xiaodong He, Chris Buehler, et al. "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering." In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2018. http://dx.doi.org/10.1109/cvpr.2018.00636.

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Ognibene, Dimitri, Giovanni Pezzulo, and Gianluca Baldassarre. "How can bottom-up information shape learning of top-down attention-control skills?" In 2010 IEEE 9th International Conference on Development and Learning (ICDL 2010). IEEE, 2010. http://dx.doi.org/10.1109/devlrn.2010.5578839.

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Fang, Yuming, Weisi Lin, Chiew Tong Lau, and Bu-Sung Lee. "A visual attention model combining top-down and bottom-up mechanisms for salient object detection." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5946648.

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Xu, Tingting, Nikolay Chenkov, Kolja Kuhnlenz, and Martin Buss. "Autonomous switching of top-down and bottom-up attention selection for vision guided mobile robots." In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iros.2009.5354674.

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Milanese, Wechsler, Gill, Bost, and Pun. "Integration of bottom-up and top-down cues for visual attention using non-linear relaxation." In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. IEEE Comput. Soc. Press, 1994. http://dx.doi.org/10.1109/cvpr.1994.323898.

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Gomez-Perez, Jose Manuel, and Raúl Ortega. "ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.441.

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Zhang, Xin, Bing Wang, Miao Wang, and Bin Liu. "An integration of top-down and bottom-up visual attention for categorization of natural scene images." In 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580561.

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Reports on the topic "Bottom up and top down attention"

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Arif, Sirojuddin, Rezanti Putri Pramana, Niken Rarasati, and Destina Wahyu Winarti. Nurturing Learning Culture among Teachers: Demand-Driven Teacher Professional Development and the Development of Teacher Learning Culture in Jakarta, Indonesia. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/117.

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Despite the growing attention to the importance of learning culture among teachers in enhancing teaching quality, we lack systematic knowledge about how to build such a culture. Can demand-driven teacher professional development (TPD) enhance learning culture among teachers? To answer the question, we assess the implementation of the TPD reform in Jakarta, Indonesia. The province has a prolonged history of a top-down TPD system. The top-down system, where teachers can only participate in training based on assignment, has detached TPD activities from school ecosystems. Principals and teachers h
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Yorulmaz, Merve, and Susanne Bührer-Topçu. The impact of Responsible Research and Innovation (RRI). A co-created template with a compilation of the scientific, societal and economic impacts of RRI. Fteval - Austrian Platform for Research and Technology Policy Evaluation, 2022. http://dx.doi.org/10.22163/fteval.2022.548.

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In this paper, we show how the policy concept Responsible Research and Innovation (RRI) intends to offer added value to scientific research processes and its manifold results and how these anticipated benefits can be measured. We set out to address the recognized challenge of impact monitoring for projects working with RRI by developing a template that can pay attention to the so far hardly considered outputs, outcomes and impacts of a particular RRI project. Its usage goes beyond monitoring and evaluating purposes at the end of a project, as our proposed set of indicators can provide scholars
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Richards, Whitman. Top-Down Influences on Bottom-Up Processing. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada261514.

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Richards, Whitman. Top-Down Influences on Bottom-Up Processing. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada238235.

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Akasha, Heba, Omid Ghaffarpasand, and Francis Pope. Climate Change and Air Pollution. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/k4d.2021.071.

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This rapid literature review explores the interactions between climate change and air pollution, with a focus on human health impacts. In particular, the report explores potential synergies in tackling climate change and air pollution together. The impacts and implications of the transition from a carbon-intensive economy upon air quality and consequently human health are examined. Discussing climate change without air pollution can lead to risks. For example, strategies that focus on electrification and transition to renewable energy achieve maximum health and air quality benefits compared to
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Ploos van Amstel, Dirk, Kuijer Lenneke, and Remko van der Lugt. Psychological Ownership Affordances as Routes to Influence Product Lifetime: Integrating top-down & bottom-up insights. University of Limerick, 2021. http://dx.doi.org/10.31880/10344/10243.

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Swartzentruber, Brian Shoemaker. "Bottom-up" meets "top-down" : self-assembly to direct manipulation of nanostructures on length scales from atoms to microns. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/984156.

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Richardson, Ruth. Improved Understanding of Microbial Iron and Sulfate Reduction Through a Combination of Bottom-up and Top-down Functional Proteomics Assays. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1239632.

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Nicholls, David, Frank Barnes, Felicia Acrea, Chinling Chen, Lara Y. Buluç, and Michele M. Parker. Top-down and bottom-up approaches to greenhouse gas inventory methods—a comparison between national- and forest-scale reporting methods. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2015. http://dx.doi.org/10.2737/pnw-gtr-906.

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Suntharasaj, Pattharaporn. Bridging the Missing Link between "Top-down" and "Bottom-up": A Strategic Policy Model for International Collaboration in Science and Technology. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1077.

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