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{ "item_title" : "Compressed Sensing and Its Applications", "item_author" : [" Holger Boche", "Giuseppe Caire", "Robert Calderbank "], "item_description" : "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 sensingClassificationMachine learningOracle inequalitiesNon-convex optimizationImage reconstructionStatistical learning theoryThis 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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/973/073/3319730738_b.jpg", "price_data" : { "retail_price" : "139.99", "online_price" : "139.99", "our_price" : "139.99", "club_price" : "139.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Compressed Sensing and Its Applications|Holger Boche

Compressed Sensing and Its Applications : Third International Matheon Conference 2017

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783319730738
  • ISBN-10: 3319730738
  • Publisher: Birkhauser
  • Publish Date: August 2019
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.36 pounds
  • Page Count: 295

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