Fuwei (58 Ergebnisse)
- Softcover
Anbieter: Anybook.com, Lincoln, Vereinigtes KönigreichAnybook.com
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EUR 11,46
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Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9787119004310.
- Softcover
Anbieter: Cotswold Internet Books, Cheltenham, Vereinigtes KönigreichCotswold Internet Books
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EUR 11,46
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Zustand: Used - Very Good. VG paperback. Beijing. With maps & colour & B&W illustrations. Slight rippling to front & back cover (binding fault), otherwise a clean, tidy copy Used - Very Good. VG paperback.
- Softcover
Anbieter: liu xing, Nanjing, JS, Chinaliu xing
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EUR 54,83
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Soft cover. Zustand: New. Language:English.Author:She Fuwei.Binding:Soft Cover.Publisher:Foreign Languages Press.
- Hardcover
Anbieter: ReadCNBook, Nanjing, JS, ChinaReadCNBook
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EUR 78,18
EUR 15,59 VersandVersand von China nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: Good. HardCover. Number of Pages: 432 Pages. Language: English. The main focus of the book includes threes aspects: first. an introduction of the historic bridges and passages of the East-West cultural exchange; second. an explanation of the scope and scale of such exchanges; and. third. an analysis of the in…teraction of Chinese and foreign cultures and a look at the future of Chinese culture.
- Softcover
Anbieter: BennettBooksLtd, Los Angeles, CA, USABennettBooksLtd
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EUR 88,44
EUR 6,02 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Paperback. Zustand: New. In shrink wrap. Looks like an interesting title.
- Hardcover
Anbieter: liu xing, Nanjing, JS, Chinaliu xing
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EUR 82,64
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Hardcover. Zustand: New. Language:English.Author:Shen Fuwei.Binding:HardCover.Publisher:Foreign Languages Press.
Sprache: Englisch
Verlag: Beijing, Foreign Languagees Press, 1996
- Erstausgabe
Anbieter: ACADEMIA Antiquariat an der Universität, Freiburg, DeutschlandACADEMIA Antiquariat an der Universität
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Zustand: Gebraucht - Sehr gut
EUR 30,00
EUR 38,95 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
In den Warenkorb14 x 20 cm. Zustand: Sehr gut. 1. Aufl. 416 Seiten / pages heller broschierter Band im Oktavformat; sehr gutes Exemplar mit einigen Abbildungen auf Bildertafeln und 2 Karten / well-kept copy with some plates) Sprache: Englisch Gewicht in Gramm: 1.
Verlag: Foreign Languages Press, Beijing, 1997
- Softcover
Anbieter: J. Wyatt Books, Ottawa, ON, KanadaJ. Wyatt Books
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EUR 41,03
EUR 19,92 VersandVersand von Kanada nach USAAnzahl: 1 verfügbar
Soft cover. Zustand: Near Fine. 416 pages in excellent condition. Includes colour, b/w illustrations and two fold-out maps. White card covers with black titles. Very light wear on corners, small tear at head of spine. NEAR FINE. Book.
- Hardcover
- Erstausgabe
Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
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EUR 128,89
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Hardcover. Zustand: new. Hardcover. This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal process…ing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
Anbieter: Basi6 International, Irving, TX, USABasi6 International
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 128,90
Versand gratisVersand innerhalb von USAAnzahl: 10 verfügbar
Zustand: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
- Hardcover
Anbieter: Basi6 International, Irving, TX, USABasi6 International
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 128,90
Versand gratisVersand innerhalb von USAAnzahl: 10 verfügbar
Zustand: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
- Softcover
Anbieter: Basi6 International, Irving, TX, USABasi6 International
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EUR 138,46
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Zustand: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
- Hardcover
Anbieter: Basi6 International, Irving, TX, USABasi6 International
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EUR 144,08
Versand gratisVersand innerhalb von USAAnzahl: 10 verfügbar
Zustand: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 132,97
EUR 17,55 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: New.
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 141,45
EUR 14,02 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 141,45
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Zustand: New. In.
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 144,62
EUR 11,70 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: Brand New. 113 pages. 9.25x6.10x0.59 inches. In Stock.
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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EUR 156,36
EUR 2,29 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: As New. Unread book in perfect condition.
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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EUR 157,78
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Zustand: New.
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 156,79
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Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2023
- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 127,40
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Zustand: New.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2022
- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 127,40
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Zustand: New.
- Softcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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EUR 80,99
EUR 105,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors… reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
- Softcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
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EUR 194,97
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Zustand: New. pp. 116.
- Hardcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
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EUR 195,77
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Zustand: New.
Sprache: Englisch
Verlag: Springer, Berlin|Springer Nature Singapore|Shanghai People's Publishing House|Chinese Fund for the Humanities and Social Sciences|Palgrave Macmillan, 2024
- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 146,12
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Gebunden. Zustand: New.
Weitere Bilder- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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EUR 131,10
EUR 70,00 VersandVersand von Deutschland nach USAAnzahl: 5 verfügbar
Taschenbuch. Zustand: Neu. Machine Learning Algorithms | Adversarial Robustness in Signal Processing | Fuwei Li (u. a.) | Taschenbuch | Wireless Networks | ix | Englisch | 2023 | Springer | EAN 9783031163777 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]sp…ringer[dot]com | Anbieter: preigu.
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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EUR 102,76
EUR 105,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the… authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2023
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 149,79
EUR 60,95 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book demonstratesthe optimal adversarial attacks against several important signal processing algorithms.Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors r…eveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 149,79
EUR 61,74 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book demonstratesthe optimal adversarial attacks against several important signal processing algorithms.Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal t…he robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
