9783031124129 - third international conference on image processing and capsule networks: icipcn 2022: 514 (14 risultati)
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Third International Conference on Image Processing and Capsule Networks : Icipcn 2022
Chen, Joy Iong-zong (EDT); Tavares, Joao Manuel R. s. (EDT); Shi, Fuqian (EDT)
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Third International Conference on Image Processing and Capsule Networks : Icipcn 2022
Chen, Joy Iong-zong (EDT); Tavares, Joao Manuel R. s. (EDT); Shi, Fuqian (EDT)
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Third International Conference on Image Processing and Capsule Networks : Icipcn 2022
Chen, Joy Iong-zong (EDT); Tavares, Joao Manuel R. s. (EDT); Shi, Fuqian (EDT)
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Third International Conference on Image Processing and Capsule Networks : Icipcn 2022
Chen, Joy Iong-zong (EDT); Tavares, Joao Manuel R. s. (EDT); Shi, Fuqian (EDT)
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Taschenbuch. Condizione: Neu. Third International Conference on Image Processing and Capsule Networks | ICIPCN 2022 | Joy Iong-Zong Chen (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xv | Englisch | 2022 | Springer | EAN 9783031124129 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17,… 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, 2022
Serie: Libro 5 di 391 - Lecture Notes in Networks and Systems
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image en…hancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
Serie: Libro 5 di 391 - Lecture Notes in Networks and Systems
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature…extraction techniques, image enhanceme.
Lingua: Inglese
Editore: Springer International Publishing Jul 2022, 2022
Serie: Libro 5 di 391 - Lecture Notes in Networks and Systems
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction tech…niques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden. 860 pp. Englisch.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Jul 2022, 2022
Serie: Libro 5 di 391 - Lecture Notes in Networks and Systems
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniqu…es, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings.Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 860 pp. Englisch.
