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Compressed Sensing and Its Applications: Third International MATHEON Conference 2017
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Catalogue Information
Field name
Details
Dewey Class
519
Title
Compressed Sensing and Its Applications ([EBook] :) : Third International MATHEON Conference 2017 / edited by Holger Boche, Giuseppe Caire, Robert Calderbank, Gitta Kutyniok, Rudolf Mathar, Philipp Petersen.
Added Personal Name
Boche, Holger
Caire, Giuseppe
Calderbank, Robert
Kutyniok, Gitta
Mathar, Rudolf
Other name(s)
SpringerLink (Online service)
Publication
Cham : Springer International Publishing , 2019.
Physical Details
XVII, 295 pages : 57 illus., 39 illus. in color. : online resource.
Series
Applied and numerical harmonic analysis
ISBN
9783319730745
Summary Note
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.:
Contents note
An Introduction to Compressed Sensing -- Quantized Compressed Sensing: a Survey -- On reconstructing functions from binary measurements -- Classification scheme for binary data with extensions -- Generalization Error in Deep Learning -- Deep learning for trivial inverse problems -- Oracle inequalities for local and global empirical risk minimizers -- Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation -- Reconstruction Methods in THz Single-pixel Imaging.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-3-319-73074-5
Links to Related Works
Subject References:
Computer science—Mathematics
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Fourier Analysis
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Image processing
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Information and communication, circuits
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Information theory
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Machine Learning
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Signal, Image and Speech Processing
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Signal processing
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Speech processing systems
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Authors:
Boche, Holger
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Caire, Giuseppe
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Calderbank, Robert
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editor
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Kutyniok, Gitta
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Mathar, Rudolf
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Corporate Authors:
SpringerLink (Online service)
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Series:
Applied and numerical harmonic analysis
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Classification:
519
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