MARC状态：审校 文献类型：西文图书 浏览次数：49
- 题名/责任者:
- Generalization with deep learning : for improvement on sensing capability / editors, Zhenghua Chen, Min Wu, Xiaoli Li, Institute for Infocomm Research, Singapore.
- 出版发行项:
- Singapore ; Hackensack, NJ : World Scientific, [2021]
- ISBN:
- 9789811218835
- 载体形态项:
- xii, 314 pages : illustrations (some color) ; 24 cm
- 附加个人名称:
- Chen, Zhenghua, editor.
- 附加个人名称:
- Wu, Min, 1974- editor.
- 附加个人名称:
- Li, Xiao-Li, 1969- editor.
- 论题主题:
- Electronic surveillance-Data processing.
- 论题主题:
- Remote sensing-Data processing.
- 论题主题:
- Diagnostic imaging-Data processing.
- 论题主题:
- Machine learning.
- 中图法分类号:
- TP277
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "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"--
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