Fuwei (53 results)
- Softcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
Contact seller5-star sellerCondition: Used - Poor
US$ 12.95
US$ 17.99 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: 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
Seller: Cotswold Internet Books, Cheltenham, United KingdomCotswold Internet Books
Contact seller5-star sellerCondition: Used
US$ 12.81
US$ 18.52 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: 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
Seller: liu xing, Nanjing, JS, Chinaliu xing
Contact seller5-star sellerCondition: New
US$ 61.47
US$ 18.00 shippingShips from China to U.S.A.Quantity: 1 available
Soft cover. Condition: New. Language:English.Author:She Fuwei.Binding:Soft Cover.Publisher:Foreign Languages Press.
- Hardcover
Seller: ReadCNBook, Nanjing, JS, ChinaReadCNBook
Contact seller5-star sellerCondition: Used - Good
US$ 87.64
US$ 18.00 shippingShips from China to U.S.A.Quantity: 1 available
Hardcover. Condition: 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…interaction of Chinese and foreign cultures and a look at the future of Chinese culture.
- Softcover
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
Contact seller5-star sellerCondition: New
US$ 99.15
US$ 6.95 shippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: New. In shrink wrap. Looks like an interesting title.
- Hardcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
Contact seller5-star sellerCondition: New
US$ 92.64
US$ 18.00 shippingShips from China to U.S.A.Quantity: 10 available
Hardcover. Condition: New. Language:English.Author:Shen Fuwei.Binding:HardCover.Publisher:Foreign Languages Press.
Language: English
Published by Beijing, Foreign Languagees Press 1996
- First Edition
Seller: ACADEMIA Antiquariat an der Universität, Freiburg, , GermanyACADEMIA Antiquariat an der Universität
Contact seller5-star sellerCondition: Used - Fine
US$ 35.46
US$ 40.11 shippingShips from Germany to U.S.A.Quantity: 1 available
14 x 20 cm. Condition: 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.
Published by Foreign Languages Press, Beijing 1997
- Softcover
Seller: J. Wyatt Books, Ottawa, ON, CanadaJ. Wyatt Books
Contact seller5-star sellerCondition: Used - Near fine
US$ 46.00
US$ 23.00 shippingShips from Canada to U.S.A.Quantity: 1 available
Soft cover. Condition: 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.
Language: English
Published by Springer International Publishing AG, Cham 2022
- Hardcover
- First Edition
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
US$ 155.95
Free ShippingShips within U.S.A.Quantity: 1 available
Hardcover. Condition: 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 proce…ssing 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.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
US$ 153.32
US$ 2.64 shippingShips within U.S.A.Quantity: 1 available
Condition: New.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
US$ 159.94
US$ 15.85 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 163.53
US$ 13.23 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: Brand New. 113 pages. 9.25x6.10x0.59 inches. In Stock.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
US$ 159.94
US$ 15.85 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 171.76
US$ 2.64 shippingShips within U.S.A.Quantity: 1 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 159.93
US$ 19.85 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: New.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 177.38
US$ 19.85 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer 2023
- Softcover
Seller: moluna, Greven, , Germanymoluna
Contact seller5-star sellerCondition: New
US$ 150.58
US$ 56.22 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer 2022
- Hardcover
Seller: moluna, Greven, , Germanymoluna
Contact seller5-star sellerCondition: New
US$ 150.58
US$ 56.22 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: Buchpark, Trebbin, , GermanyBuchpark
Contact seller5-star sellerCondition: Used - Fine
US$ 95.72
US$ 120.49 shippingShips from Germany to U.S.A.Quantity: 1 available
Condition: 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 autho…rs 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.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 219.46
US$ 3.99 shippingShips within U.S.A.Quantity: 4 available
Condition: New.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 220.50
US$ 3.99 shippingShips within U.S.A.Quantity: 4 available
Condition: New. pp. 116.
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Shanghai People's Publishing House|Chinese Fund for the Humanities and Social Sciences|Palgrave Macmillan 2024
- Hardcover
Seller: moluna, Greven, , Germanymoluna
Contact seller5-star sellerCondition: New
US$ 172.70
US$ 56.22 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Gebunden. Condition: New.
More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 154.89
US$ 80.33 shippingShips from Germany to U.S.A.Quantity: 5 available
Taschenbuch. Condition: 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]…springer[dot]com | Anbieter: preigu.
- Hardcover
Seller: Buchpark, Trebbin, , GermanyBuchpark
Contact seller5-star sellerCondition: Used
US$ 121.45
US$ 120.49 shippingShips from Germany to U.S.A.Quantity: 1 available
Condition: 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, t…he 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.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 177.04
US$ 70.85 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: 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… 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.
Language: English
Published by Springer International Publishing, Springer International Publishing 2023
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 177.04
US$ 69.94 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: 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 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
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 251.16
US$ 13.23 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Paperback. Condition: Brand New. 113 pages. 9.25x6.10x0.27 inches. In Stock.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 253.92
US$ 3.99 shippingShips within U.S.A.Quantity: 4 available
Condition: New. 2024th edition NO-PA16APR2015-KAP.
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 253.39
US$ 13.23 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 113 pages. 9.25x6.10x0.59 inches. In Stock.
Language: English
Published by Springer International Publishing AG, Cham 2022
- Hardcover
- First Edition
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
US$ 235.02
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: 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 proce…ssing 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
