Songxiang (10 results)

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  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010

    3639247361 / 9783639247367

    • Softcover

    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condition: New. pp. 140.

  • Language: English

    Published by VDM Verlag Dr. Müller, 2010

    3639247361 / 9783639247367

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. Body Deformation Correction for SPECT Imaging | An Improvement for Reconstruction of Single Photon Emission Computed Tomography (SPECT) Imaging | Songxiang Gu | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639247367 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

  • Language: English

    Published by VDM Verlag Dr. Müller, 2010

    3639247361 / 9783639247367

    • Softcover

    Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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    Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Language: English

    Published by World Scientific Publishing Co Pte Ltd, SG, 2024

    981129254X / 9789811292545

    • Hardcover

    Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA

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    Hardback. Condition: New. Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.The first part lays a foundational understanding of federated learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the federated learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, deep learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to federated learning systems - namely JD Technology's own FedLearn system - by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology.This book will serve as a great reference for readers who are experienced in federated learning algorithms, building privacy-preserving machine learning applications or solving real-world problems with privacy-restricted scenarios.…

  • Language: English

    Published by World Scientific, 2024

    981129254X / 9789811292545

    • Hardcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Hardcover. Condition: Brand New. 527 pages. 9.25x6.25x1.50 inches. In Stock.

  • Language: English

    Published by World Scientific Publishing Co Pte Ltd, SG, 2024

    981129254X / 9789811292545

    • Hardcover

    Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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    Hardback. Condition: New. Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.The first part lays a foundational understanding of federated learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the federated learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, deep learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to federated learning systems - namely JD Technology's own FedLearn system - by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology.This book will serve as a great reference for readers who are experienced in federated learning algorithms, building privacy-preserving machine learning applications or solving real-world problems with privacy-restricted scenarios.…

  • Language: English

    Published by VDM Verlag Dr. Müller, 2010

    3639247361 / 9783639247367

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gu SongxiangI graduated from Computer Science Department of Zhejiang university (China) with both the Bachelor and Master degrees in 2003. After working as a software engineer for one yaer, I preferred a more challenging life. I s.…

  • Language: English

    Published by VDM Verlag Dr. Müller, 2010

    3639247361 / 9783639247367

    • Softcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Body deformation correction improved the reconstruction of the Single Photon Emission Computed Tomography (SPECT) by considering the body deformation during the imaging procedure. This book is organised by background, body modelling, computation method and results in dissection sequences providing a clear roadmap to understand the research topic. Inside the book, you will find a mathematical motion model of the spine, a modified MLEM algorithm for motion correction purpose and a set of experimental results based on MRI and SPECT modality to illustrate the clinic applicability of this improvement. This work was supported by the National Institute of Biomedical Imaging and Bioengineering by Grant R01-EB001457. The most of the experiments were done in the Nuclear Imaging Lab of University of Massachusetts Medical School with the team of 'SPECT Motion Correction' led by Prof. Michael A. King.…

  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010

    3639247361 / 9783639247367

    • Softcover
    • Print on Demand

    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. 140 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010

    3639247361 / 9783639247367

    • Softcover
    • Print on Demand

    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. 140.