| 書目名稱 | Image Processing and Capsule Networks |
| 副標(biāo)題 | ICIPCN 2020 |
| 編輯 | Joy Iong-Zong Chen,Jo?o Manuel R. S. Tavares,Abdul |
| 視頻video | http://file.papertrans.cn/462/461435/461435.mp4 |
| 概述 | 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, Thail |
| 叢書名稱 | Advances in Intelligent Systems and Computing |
| 圖書封面 |  |
| 描述 | .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, |
| 出版日期 | Conference proceedings 2021 |
| 關(guān)鍵詞 | Image Processing; Capsule Networks; Artificial Neural Networks; Neuro-fuzzy Control; Genetic Algorithms; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-51859-2 |
| isbn_softcover | 978-3-030-51858-5 |
| isbn_ebook | 978-3-030-51859-2Series ISSN 2194-5357 Series E-ISSN 2194-5365 |
| issn_series | 2194-5357 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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