Academic literature on the topic 'Context-based fusion'

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Journal articles on the topic "Context-based fusion"

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Snidaro, Lauro, Jesus Garcia, and Juan Manuel Corchado. "Context-based information fusion." Information Fusion 21 (January 2015): 82–84. http://dx.doi.org/10.1016/j.inffus.2014.02.001.

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Zongwen Bai, Zongwen Bai, Xiaohuan Chen Zongwen Bai, Meili Zhou Xiaohuan Chen, Tingting Yi Meili Zhou, and Wei-Che Chien Tingting Yi. "Low-rank Multimodal Fusion Algorithm Based on Context Modeling." 網際網路技術學刊 22, no. 4 (2021): 913–21. http://dx.doi.org/10.53106/160792642021072204018.

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Patricio, Miguel A., Jesús García, Juan M. Corchado, Javier Bajo, Alaa Khamis, and Eleni E. Mangina. "Intelligent Systems in Context-Based Distributed Information Fusion." International Journal of Distributed Sensor Networks 9, no. 11 (2013): 836463. http://dx.doi.org/10.1155/2013/836463.

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Snidaro, Lauro, Jesús García, and James Llinas. "Context-based Information Fusion: A survey and discussion." Information Fusion 25 (September 2015): 16–31. http://dx.doi.org/10.1016/j.inffus.2015.01.002.

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Cao, Yunfeng, Zhouyu Zhang, Yanming Fan, Meng Ding, and Jiang Tao. "Vision-Based Flying Targets Detection via Spatiotemporal Context Fusion." IEEE Access 7 (2019): 144090–100. http://dx.doi.org/10.1109/access.2019.2943068.

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Gómez-Romero, Juan, Miguel A. Serrano, Jesús García, José M. Molina, and Galina Rogova. "Context-based multi-level information fusion for harbor surveillance." Information Fusion 21 (January 2015): 173–86. http://dx.doi.org/10.1016/j.inffus.2014.01.011.

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Emmanouilidis, Christos, Petros Pistofidis, Apostolos Fournaris, et al. "Context-based and human-centred information fusion in diagnostics." IFAC-PapersOnLine 49, no. 28 (2016): 220–25. http://dx.doi.org/10.1016/j.ifacol.2016.11.038.

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He, Wei, Zhenmiao Deng, Yishan Ye, and Pingping Pan. "ConCs-Fusion: A Context Clustering-Based Radar and Camera Fusion for Three-Dimensional Object Detection." Remote Sensing 15, no. 21 (2023): 5130. http://dx.doi.org/10.3390/rs15215130.

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Multi-modality three-dimensional (3D) object detection is a crucial technology for the safe and effective operation of environment perception systems in autonomous driving. In this study, we propose a method called context clustering-based radar and camera fusion for 3D object detection (ConCs-Fusion) that combines radar and camera sensors at the intermediate fusion level to achieve 3D object detection. We extract features from heterogeneous sensors and input them as feature point sets into the fusion module. Within the fusion module, we utilize context cluster blocks to learn multi-scale feat
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Hu, Tao, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, and Cees G. M. Snoek. "Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8441–48. http://dx.doi.org/10.1609/aaai.v33i01.33018441.

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Few-shot learning is a nascent research topic, motivated by the fact that traditional deep learning methods require tremendous amounts of data. The scarcity of annotated data becomes even more challenging in semantic segmentation since pixellevel annotation in segmentation task is more labor-intensive to acquire. To tackle this issue, we propose an Attentionbased Multi-Context Guiding (A-MCG) network, which consists of three branches: the support branch, the query branch, the feature fusion branch. A key differentiator of A-MCG is the integration of multi-scale context features between support
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KATO, H., S. HIDAKA, Z. HU, K. NAKANO, and Y. ISHIHARA. "Context-preserving XQuery fusion." Mathematical Structures in Computer Science 25, no. 4 (2014): 916–41. http://dx.doi.org/10.1017/s096012951300008x.

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This paper solves the known problem of elimination of unnecessary internal element construction as well as variable elimination in XML processing with (a subset of) XQuery without ignoring the issues of document order. The semantics of XQuery is context sensitive and requires preservation of document order. In this paper, we propose, as far as we are aware, the first XQuery fusion that can deal with both the document order and the context of XQuery expressions. More specifically, we carefully design a context representation of XQuery expressions based on the Dewey order encoding, develop a con
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Dissertations / Theses on the topic "Context-based fusion"

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Han, Jun. "Advantages and Risks of Sensing for Cyber-Physical Security." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1161.

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With the the emergence of the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS), modern computing is now transforming from residing only in the cyber domain to the cyber-physical domain. I focus on one important aspect of this transformation, namely shortcomings of traditional security measures. Security research over the last couple of decades focused on protecting data in regard to identities or similar static attributes. However, in the physical world, data rely more on physical relationships, hence requires CPS to verify identities together with relative physical context to provide
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Amroun, Hamdi. "Modèles statistiques avancés pour la reconnaissance de l’activité physique dans un environnement non contrôlé en utilisant un réseau d’objets connectés." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS406/document.

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Avec l’arrivée des objets connectés, la reconnaissance de l’activité physique connait une nouvelle ère. De nouvelles considérations sont à prendre en compte afin d’aboutir à un meilleur processus de traitement. Dans cette thèse, nous avons exploré le processus de traitement pour la reconnaissance de l’activité physique dans un environnement non contrôlé. Les activités physiques reconnues, avec seulement une centrale inertielle (accéléromètre, gyroscope et magnétomètre), sont dites élémentaires. Les autres types d’activités dépendantes d’un contexte sont dites « basés sur le contexte ». Nous av
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Sun, Jie. "Intelligent flood adaptative contex-aware system." Thesis, Université Clermont Auvergne‎ (2017-2020), 2017. http://www.theses.fr/2017CLFAC076/document.

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A l’avenir, l'agriculture et l'environnement vont pouvoir bénéficier de plus en plus de données hétérogènes collectées par des réseaux de capteurs sans fil (RCSF). Ces données alimentent généralement des outils d’aide à la décision (OAD). Dans cette thèse, nous nous intéressons spécifiquement aux systèmes sensibles et adaptatifs au contexte basés sur un RCSF et un OAD, dédiés au suivi de phénomènes naturels. Nous proposons ainsi une formalisation pour la conception et la mise en œuvre de ces systèmes. Le contexte considéré se compose de données issues du phénomène étudié mais également des cap
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Pfleger, Norbert [Verfasser]. "Context based multimodal interpretation : an integrated approach to multimodal fusion and discourse processing / vorgelegt von Norbert Pfleger." 2008. http://d-nb.info/987609971/34.

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Books on the topic "Context-based fusion"

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International Conference on Location Based Services and TeleCartography (5th 2008 Salzburg, Austria). Location based services and telecartography II: From sensor fusion to context models : 5th International Conference on Location Based Services and TeleCartography 2008, Salzburg / Georg Gartner, Karl Rehrl (eds.). Springer, 2009.

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Gartner, Georg, and Karl Rehrl. Location Based Services and TeleCartography II: From Sensor Fusion to Context Models. Springer London, Limited, 2008.

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Gartner, Georg, and Karl Rehrl. Location Based Services and TeleCartography II: From Sensor Fusion to Context Models. Springer, 2010.

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Lewandrowski, Kai-Uwe, Jorge Felipe Ramírez León, Anthony Yeung, et al., eds. Advanced Technologies. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150515441220301.

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Contemporary Endoscopic Spine Surgery brings the reader the most up-to-date information on the endoscopy of the spine. Key opinion leaders from around the world have come together to present the clinical evidence behind their competitive endoscopic spinal surgery protocols. Chapters in the series cover a range of aspects of spine surgery including spinal pain generators, preoperative workup with modern independent predictors of favorable clinical outcomes with endoscopy, anesthesia in an outpatient setting, management of complications, and a fresh look at technology advances in a historical co
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Laurenson, Sarah. The Material Landscapes of Scotland’s Jewellery Craft, 1780–1914. Bloomsbury Publishing Plc, 2023. http://dx.doi.org/10.5040/9781501357978.

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Jewellery is used to adorn the human body, to mark wealth and status, and to build and mark personal and emotional ties between individuals. The role of goldsmiths and jewellers in manipulating materials to fuse symbolic and monetary value in precious and deeply meaningful objects has seen their skill command a high level of respect across time and place. Yet the making of jewellery during the modern era has received very little scholarly attention. The Material Landscapes of Scotland’s Jewellery Craft, 1780-1914 challenges the tired but persistent notion that industrialization, by replacing t
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Book chapters on the topic "Context-based fusion"

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Aved, Alex J., and Erik Blasch. "Context Understanding from Query-Based Streaming Video." In Context-Enhanced Information Fusion. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28971-7_19.

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Gómez-Romero, Juan, Jesús García, Miguel A. Patricio, Miguel A. Serrano, and José M. Molina. "Context-Based Situation Recognition in Computer Vision Systems." In Context-Enhanced Information Fusion. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28971-7_23.

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Blasch, Erik, Riad I. Hammoud, Haibin Ling, Dan Shen, James Nagy, and Genshe Chen. "Context-Based Fusion of Physical and Human Data for Level 5 Information Fusion." In Context-Enhanced Information Fusion. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28971-7_18.

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Khattak, Asad Masood, Amjad Usman, and Sungyoung Lee. "Ontology Based Context Fusion for Behavior Analysis and Prediction." In Smart Homes and Health Telematics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14424-5_17.

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Bu, Yingyi, Jun Li, Shaxun Chen, Xianping Tao, and Jian Lv. "An Enhanced Ontology Based Context Model and Fusion Mechanism." In Embedded and Ubiquitous Computing – EUC 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596356_91.

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Nam, Mi Young, and Phill Kyu Rhee. "Multi-context Fusion Based Robust Face Detection in Dynamic Environments." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_87.

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Kim, Svetlana, HagYoung Kim, and YongIk Yoon. "Fusion Context Model Based on User Scenario for Smart Service." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27180-9_62.

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Smirnov, Alexander, Nikolay Shilov, Aziz Makklya, and Oleg Gusikhin. "Context-Based Service Fusion for Personalized On-Board Information Support." In Advanced Microsystems for Automotive Applications 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08087-1_11.

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Aileni, Raluca Maria, Suciu George, Sever Pasca, and Valderrama Sukuyama Carlos Alberto. "Data Fusion-Based AI Algorithms in the Context of IIoTS." In Internet of Things for Industry 4.0. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32530-5_2.

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Zhang, Jun, and Roman Ilin. "Modeling Uncertainty, Context, and Information Fusion via Lattice-Based Probability." In The Economics of the Global Environment. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31943-8_5.

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Conference papers on the topic "Context-based fusion"

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Rangel, Pablo, Vinícius Maravalhas de Abreu Nunes, Matheus Da Rocha Salazar, Reinaldo Albuquerque Simões, Luiza Morgado de Castro Rosa, and José Gomes de Carvalho Júunior. "A Hybrid Model for Detection and Classification of Fishing Activity: A Context-Based Approach." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706303.

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Wang, Xurong, Zhuohao Gong, Wenxin Hu, Qianqian Wang, Zixuan Shangguan, and Ziyuan Wen. "CF-ACV: Fast-ACV Based on Context and Geometry Fusion for Stereo Matching." In 2024 IEEE International Conference on Smart Internet of Things (SmartIoT). IEEE, 2024. https://doi.org/10.1109/smartiot62235.2024.00077.

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Yuan, Shuangjie, Dong Ouyang, Lu Yang, and Tieshan Li. "CPF6D: 6DoF Pose Estimation Net based on Context Part Fusion for Robotic Grasping." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650939.

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Zhang, Wenxiang, and Chunmeng Wang. "A Novel Exposure Fusion Method Based on Low-Resolution Context Aggregation Attention Network." In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2024. https://doi.org/10.1109/cisp-bmei64163.2024.10906171.

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Zhao, Lang, Pengju He, and He Zhao. "Improved YOLOv8n Remote Sensing Image Target Detection Method Based on Context Information Fusion." In 2025 5th International Symposium on Computer Technology and Information Science (ISCTIS). IEEE, 2025. https://doi.org/10.1109/isctis65944.2025.11065658.

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Wen, Encai, Qishen Li, Qinfeng Li, and Hua Huang. "Research on Real-Time Instance Segmentation Based on Multi-Scale Context Information Fusion." In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025. https://doi.org/10.1109/nnice64954.2025.11063877.

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Ding, Shiyu, Jin Li, Kuan Luan, Hong Liang, and Jiqing Xing. "CWF-HRNet: Context-aware Fusion for Human Pose Estimation based on High-Resolution Networks." In 2024 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2024. http://dx.doi.org/10.1109/icma61710.2024.10632900.

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Qu, Qingnan, and Honghai Feng. "Named Entity Recognition for Electronic Medical Records Based on Multi-Feature Fusion and Global Context Mechanism." In 2024 4th International Conference on Electronic Information Engineering and Computer (EIECT). IEEE, 2024. https://doi.org/10.1109/eiect64462.2024.10866901.

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Hou, Rui, Elham Eli, Ghalip Ibrahim, Xuebin Xu, and Kurban Ubul. "CAFPN: A Network for Offline Text Line Recognition with Attention-based Multi-stage Feature Fusion and Context Parser." In 2024 3rd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR). IEEE, 2024. https://doi.org/10.1109/aihcir65563.2024.00071.

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Pfleger, Norbert. "Context based multimodal fusion." In the 6th international conference. ACM Press, 2004. http://dx.doi.org/10.1145/1027933.1027977.

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