Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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Añadir al carritoXVII, 295 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Applied and Numerical Harmonic Analysis. Sprache: Englisch.
Librería: SpringBooks, Berlin, Alemania
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Añadir al carritoHardcover. Condición: Very Good. 1. Auflage. unread, some shelfwear.
Librería: Zardoz Books, Westbury, WILTS, Reino Unido
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Añadir al carritoFirst Edition. Condición: new. new 1st Birkhäuser 2019 edition hardcover In stock shipped from our UK warehouse.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoCondición: New. 2019. 1st ed. 2019. hardcover. . . . . .
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Añadir al carritoHardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por Springer International Publishing, 2019
ISBN 10: 3319730738 ISBN 13: 9783319730738
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 117,69
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Idioma: Inglés
Publicado por Springer (India) Private Limited, 2019
ISBN 10: 3319730738 ISBN 13: 9783319730738
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 183,18
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Añadir al carritoCondición: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Añadir al carritoHardcover. Condición: Brand New. 316 pages. 9.25x6.10x0.94 inches. In Stock.
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Añadir al carritoCondición: New. 2019. 1st ed. 2019. hardcover. . . . . . Books ship from the US and Ireland.
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Añadir al carritoCondición: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 110,26
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Aug 2019, 2019
ISBN 10: 3319730738 ISBN 13: 9783319730738
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 117,69
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 316 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2019
ISBN 10: 3319730738 ISBN 13: 9783319730738
Librería: moluna, Greven, Alemania
EUR 118,61
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights state-of-the-art applications and methodologies of compressed sensingContains chapters written by leading experts in the fields of compressed sensing and deep learningIncludes a self-contai.
Idioma: Inglés
Publicado por Springer (India) Private Limited, 2019
ISBN 10: 3319730738 ISBN 13: 9783319730738
Librería: Majestic Books, Hounslow, Reino Unido
EUR 190,30
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Idioma: Inglés
Publicado por Birkhäuser, Springer Aug 2019, 2019
ISBN 10: 3319730738 ISBN 13: 9783319730738
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 139,09
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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:Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 316 pp. Englisch.
Idioma: Inglés
Publicado por Springer (India) Private Limited, 2019
ISBN 10: 3319730738 ISBN 13: 9783319730738
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 192,14
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Añadir al carritoCondición: New. PRINT ON DEMAND.