Generalization with deep learning: for improvement on sensing capability
"Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore
World Scientific
2021
|
| Subjects: | |
| Online Access: | Volltext |
| Summary: | "Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 online resource (xii, 314 pages) |
| ISBN: | 9789811218842 |
Staff View
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| id | DE-604.BV047287916 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:19:20Z |
| indexdate | 2024-07-10T09:07:53Z |
| institution | BVB |
| isbn | 9789811218842 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032691325 |
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| physical | 1 online resource (xii, 314 pages) |
| psigel | ZDB-124-WOP |
| publishDate | 2021 |
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| publisher | World Scientific |
| record_format | marc |
| spelling | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore Singapore World Scientific 2021 1 online resource (xii, 314 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning Electronic books Chen, Zhenghua edt Wu, Min 1974- edt Li, Xiao-Li 1969- edt Erscheint auch als Druck-Ausgabe 9789811218835 https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Generalization with deep learning for improvement on sensing capability Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning |
| title | Generalization with deep learning for improvement on sensing capability |
| title_auth | Generalization with deep learning for improvement on sensing capability |
| title_exact_search | Generalization with deep learning for improvement on sensing capability |
| title_exact_search_txtP | Generalization with deep learning for improvement on sensing capability |
| title_full | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore |
| title_fullStr | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore |
| title_full_unstemmed | Generalization with deep learning for improvement on sensing capability edited by Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore |
| title_short | Generalization with deep learning |
| title_sort | generalization with deep learning for improvement on sensing capability |
| title_sub | for improvement on sensing capability |
| topic | Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning |
| topic_facet | Electronic surveillance Data processing Remote sensing Data processing Diagnostic imaging Data processing Machine learning |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc |
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