书目名称 | Harmonic and Applied Analysis |
副标题 | From Radon Transform |
编辑 | Filippo De Mari,Ernesto De Vito |
视频video | http://file.papertrans.cn/425/424311/424311.mp4 |
概述 | Explores mathematical connections between harmonic analysis and machine learning, data analysis, and imaging science.Offers a current and accessible entrance into cutting-edge research in the data sci |
丛书名称 | Applied and Numerical Harmonic Analysis |
图书封面 |  |
描述 | Deep connections exist between harmonic and applied analysis and the diverse yet connected topics of machine learning, data analysis, and imaging science. This volume explores these rapidly growing areas and features contributions presented at the second and third editions of the Summer Schools on Applied Harmonic Analysis, held at the University of Genova in 2017 and 2019. Each chapter offers an introduction to essential material and then demonstrates connections to more advanced research, with the aim of providing an accessible entrance for students and researchers. Topics covered include ill-posed problems; concentration inequalities; regularization and large-scale machine learning; unitarization of the radon transform on symmetric spaces; and proximal gradient methods for machine learning and imaging. |
出版日期 | Book 2021 |
关键词 | Harmonic Analysis machine learning; Applied harmonic analysis; Concentration inequalities; Ill-posed pr |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-86664-8 |
isbn_softcover | 978-3-030-86666-2 |
isbn_ebook | 978-3-030-86664-8Series ISSN 2296-5009 Series E-ISSN 2296-5017 |
issn_series | 2296-5009 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |