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Paperback. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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Paperback. Zustand: Brand New. 270 pages. 9.25x6.10x0.57 inches. In Stock.

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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.

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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 524 | Sprache: Englisch | Produktart: Bücher | This two part LNCS volumes constitutes the refereed proceedings of the 19th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2024, held in Hohhot, China, in July 12-14, 2024.The 52 full papers and 18 short papers included in this book were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows :Part-I : Trend; CSCW and Social Computing, and Human-Machine-Things Fusion and Human-AI Collaborative Computing.Part-II : Crowd Cooperative Computing and Evolutionary Computation, and Collaborative Data, Software and Services.

Taschenbuch. Zustand: Neu. Computer Supported Cooperative Work and Social Computing | 19th CCF Conference, ChineseCSCW 2024, Hohhot, China, July 12-14, 2024, Revised Selected Papers, Part II | Hailong Sun (u. a.) | Taschenbuch | xxvi | Englisch | 2025 | Springer | EAN 9789819623754 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Computer Supported Cooperative Work and Social Computing | 19th CCF Conference, ChineseCSCW 2024, Hohhot, China, July 12-14, 2024, Revised Selected Papers, Part I | Hailong Sun (u. a.) | Taschenbuch | xxvi | Englisch | 2025 | Springer | EAN 9789819623723 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. 140 pages. 9.25x6.25x0.25 inches. In Stock.

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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 586 | Sprache: Englisch | Produktart: Bücher | This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023. The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, preserving user privacy, and detecting false data.Mobile crowdsensing, as an emerging sensing paradigm, enables the masses to take part in data collection tasks with the aid of powerful mobile devices. However, mobile crowdsensing platforms have yet to be widely adopted in practice, the major concern being the quality of the data collected. There are numerous causes: some locations may generate redundant data, while others may not be covered at all, since the participants are rarely systematically coordinated; privacy is a concern for some people, who don¿t wish to share their real-time locations, and therefore some key information may be missing; further, some participants may upload fake data in order to fraudulently gain rewards. Toaddress these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer an effective solution.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 586 | Sprache: Englisch | Produktart: Bücher | This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023. The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two part LNCS volumes constitutes the refereed proceedings of the 19th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2024, held in Hohhot, China, in July 12- 14, 2024.The 52 full papers and 18 short papers included in this book were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows :Part-I :Trend;CSCW and Social Computing, andHuman-Machine-Things Fusion and Human-AI Collaborative Computing.Part-II :Crowd Cooperative Computing and Evolutionary Computation, and Collaborative Data, Software and Services.

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Paperback. Zustand: Brand New. revised edition. 572 pages. 9.26x6.11x1.16 inches. In Stock.

Paperback. Zustand: Brand New. revised edition. 586 pages. 9.26x6.11x1.19 inches. In Stock.

Taschenbuch. Zustand: Neu. Computer Supported Cooperative Work and Social Computing | 18th CCF Conference, ChineseCSCW 2023, Harbin, China, August 18-20, 2023, Revised Selected Papers, Part I | Yuqing Sun (u. a.) | Taschenbuch | xxiv | Englisch | 2024 | Springer | EAN 9789819996360 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Computer Supported Cooperative Work and Social Computing | 18th CCF Conference, ChineseCSCW 2023, Harbin, China, August 18-20, 2023, Revised Selected Papers, Part II | Yuqing Sun (u. a.) | Taschenbuch | xxiv | Englisch | 2024 | Springer | EAN 9789819996391 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two part LNCS volumes constitutes the refereed proceedings of the 19th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2024, held in Hohhot, China, in July 12-14, 2024.The 52 full papers and 18 short papers included in this book were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows :Part-I :Trend;CSCW and Social Computing, andHuman-Machine-Things Fusion and Human-AI Collaborative Computing.Part-II :Crowd Cooperative Computing and Evolutionary Computation, and Collaborative Data, Software and Services.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023.The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023.The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.