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Image Processing and Capsule Networks: ICIPCN 2020: 1200 (Advances in Intelligent Systems and Computing) - Tapa blanda
Sinopsis
This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence.
The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.
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De la contraportada
This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence.
The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.
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- EditorialSpringer
- Año de publicación2020
- ISBN 10 3030518582
- ISBN 13 9783030518585
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición1
- Número de páginas836
- EditorChen Joy Iong-Zong, Tavares João Manuel R. S., Shakya Subarna
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Image Processing and Capsule Networks. ICIPCN 2020.
Publicado por
Cham, Springer., 2021
ISBN 10: 3030518582
ISBN 13: 9783030518585
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Tapa blanda
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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XXII, 807 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Intelligent Systems and Computing, 1200. Sprache: Englisch. Nº de ref. del artículo: 10346GB
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Image Processing and Capsule Networks
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030518582
ISBN 13: 9783030518585
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research on Image Processing and Capsule Networks Includes the proceedings of the International Conference on Image Processing and Capsule Networks (ICIPCN2020), held in Bangkok, Thailand, on May 6 to 7, 2020&. Nº de ref. del artículo: 388546635
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Image Processing and Capsule Networks
Publicado por
Springer International Publishing Jul 2020, 2020
ISBN 10: 3030518582
ISBN 13: 9783030518585
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Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science.Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modelingwhichhave been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computingefficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms andartificial intelligence[AI] tools into existence.The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas ofcapsule network[CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet ofthings,and data analytics techniques. 836 pp. Englisch. Nº de ref. del artículo: 9783030518585
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Image Processing and Capsule Networks : ICIPCN 2020
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030518582
ISBN 13: 9783030518585
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science.Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modelingwhichhave been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computingefficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms andartificial intelligence[AI] tools into existence.The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas ofcapsule network[CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet ofthings,and data analytics techniques. Nº de ref. del artículo: 9783030518585
Cantidad disponible: 1 disponibles
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Image Processing and Capsule Networks: ICIPCN 2020 (Advances in Intelligent Systems and Computing, 1200)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783030518585_new
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Image Processing and Capsule Networks
Publicado por
Springer International Publishing, Springer International Publishing Jul 2020, 2020
ISBN 10: 3030518582
ISBN 13: 9783030518585
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence.The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 836 pp. Englisch. Nº de ref. del artículo: 9783030518585
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Image Processing and Capsule Networks: ICIPCN 2020 (Advances in Intelligent Systems and Computing, 1200)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020020663
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Image Processing and Capsule Networks: ICIPCN 2020 (Advances in Intelligent Systems and Computing)
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. pp. 860. Nº de ref. del artículo: 26378043046
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Image Processing and Capsule Networks: ICIPCN 2020 (Advances in Intelligent Systems and Computing)
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand pp. 860. Nº de ref. del artículo: 385860985
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Image Processing and Capsule Networks: ICIPCN 2020 (Advances in Intelligent Systems and Computing, 1200)
Librería: dsmbooks, Liverpool, Reino Unido
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Paperback. Condición: New. New. book. Nº de ref. del artículo: D8F0-0-M-3030518582-6
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