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OverviewFull Product DetailsAuthor: Irina Rish , Genady GrabarnikPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.453kg ISBN: 9780367658922ISBN 10: 0367658925 Pages: 236 Publication Date: 30 September 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviews... an excellent introductory book for branching off into aspects of sparse modeling; it is also good for advanced students since it is contains an appendix with some of the mathematical background needed to learn from this book, including topics such as eigentheory, discrete Fourier transform, and subgaussian random variables. I very much recommend this book for researchers and students alike. -Computing Reviews, May 2015 A comprehensive, clear, and well-articulated book on sparse modeling. This book will stand as a prime reference to the research community for many years to come. -Ricardo Vilalta, Department of Computer Science, University of Houston This book provides a modern introduction to sparse methods for machine learning and signal processing, with a comprehensive treatment of both theory and algorithms. Sparse Modeling is an ideal book for a first-year graduate course. -Francis Bach, INRIA - Ecole Normale Superieure, Paris Author InformationIrina Rish, Genady Grabarnik Tab Content 6Author Website:Countries AvailableAll regions |