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Titlebook: Compressed Sensing and Its Applications; Third International Holger Boche,Giuseppe Caire,Philipp Petersen Book 2019 Springer Nature Switze

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书目名称Compressed Sensing and Its Applications
副标题Third International
编辑Holger Boche,Giuseppe Caire,Philipp Petersen
视频video
概述Highlights state-of-the-art applications and methodologies of compressed sensing.Contains chapters written by leading experts in the fields of compressed sensing and deep learning.Includes a self-cont
丛书名称Applied and Numerical Harmonic Analysis
图书封面Titlebook: Compressed Sensing and Its Applications; Third International  Holger Boche,Giuseppe Caire,Philipp Petersen Book 2019 Springer Nature Switze
描述The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin. In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. Specific topics covered include:.Quantized compressed sensing.Classification.Machine learning.Oracle inequalities.Non-convex optimization.Image reconstruction.Statistical learning theory.This volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing..
出版日期Book 2019
关键词Compressed sensing; Compressed sensing theory and applications; Compressed sensing book; Compressed sen
版次1
doihttps://doi.org/10.1007/978-3-319-73074-5
isbn_ebook978-3-319-73074-5Series ISSN 2296-5009 Series E-ISSN 2296-5017
issn_series 2296-5009
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Classification Scheme for Binary Data with Extensions, include some further implementation considerations. Experimental evidence provided in this chapter demonstrates that our methods yield accurate classification on a variety of synthetic and real data.
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Strategisches Softwaremarketingthe problem of model misspecification in the linear model is first discussed. Then, the sharp oracle inequalities are stated. Finally, we show how to apply the general theory to problems from regression, classification, and dimension reduction.
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