Liu Lihui (34 results)
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Hardback or Cased Book. Condition: New. Neural Symbolic Knowledge Graph Reasoning: A Pathway Towards Neural Symbolic AI. Book.
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Published by Cnpiecsb, 2017
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- Hardcover
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Hardcover. Condition: Brand New. 167 pages. 6.69x0.44x9.61 inches. In Stock.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neural-based knowledge graph reasoning techniques; and… third, cutting-edge advancements in neural-symbolic hybrid approaches to knowledge graph reasoning. The authors focus on the model and algorithm design aspect and study knowledge graphs from two perspectives: background knowledge graph and input query. Knowledge graph reasoning, which aims to infer and discover new knowledge from existing information in the knowledge graph, has played an important role in many real-world applications, such as question answering and recommender systems. A new trend in knowledge graph reasoning is the combination of neural models with symbolic knowledge graphs, allowing for the design of models that are not only efficient and accurate, but also interpretable. In this book, the authors study the application of neural-symbolic knowledge reasoning to different tasks from two perspectives: the input query and the background knowledge graph.
- Hardcover
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Hardback. Condition: New. This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neural-based knowledge graph reasoning techniques; and third, cutting-edge advancements in neural-symbo…lic hybrid approaches to knowledge graph reasoning. The authors focus on the model and algorithm design aspect and study knowledge graphs from two perspectives: background knowledge graph and input query. Knowledge graph reasoning, which aims to infer and discover new knowledge from existing information in the knowledge graph, has played an important role in many real-world applications, such as question answering and recommender systems. A new trend in knowledge graph reasoning is the combination of neural models with symbolic knowledge graphs, allowing for the design of models that are not only efficient and accurate, but also interpretable. In this book, the authors study the application of neural-symbolic knowledge reasoning to different tasks from two perspectives: the input query and the background knowledge graph.
Visual Object Tracking from Correlation Filter to Deep Learning
Weiwei Xing, Weibin Liu, Jun Wang, Bowen Song, Lihui Wang, Yuxiang Yang, Shunli Zhang
- Hardcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: 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 exp…lored 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.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Visual Object Tracking From Correlation Filter to Deep Learning [Hardcover] [Nov 19, 2021] Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang and Song, Bowen
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Hardcover
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Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Softcover
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Visual Object Tracking from Correlation Filter to Deep Learning
Weiwei Xing, Weibin Liu, Jun Wang, Bowen Song, Lihui Wang, Yuxiang Yang, Shunli Zhang
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: 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 exp…lored 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.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Softcover
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei/ Liu, Weibin/ Wang, Jun/ Zhang, Shunli/ Wang, Lihui/ Yang, Yuxiang/ Song, Bowen
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 207 pages. 9.25x6.10x0.59 inches. In Stock.
Published by Cnpiecsb, 2017
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New.
Visual Object Tracking from Correlation Filter to Deep Learning Weiwei Xing, Weibin Liu, Jun Wang, Bowen Song, Lihui Wang, Yuxiang Yang, Shunli Zhang
Weiwei Xing, Weibin Liu, Jun Wang, Bowen Song, Lihui Wang, Yuxiang Yang, Shunli Zhang
- Hardcover
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condition: gut. 2021. Visual Object Tracking from Correlation Filter to Deep Learning In deutscher Sprache. pages.
Published by Cnpiecsb, 2017
- Softcover
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- Hardcover
Seller: moluna, Greven, Germanymoluna
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Published by Cnpiecsb, 2017
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New.
- Hardcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Springer, Berlin, Springer Nature Switzerland, 2026
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neural-based knowledge graph reasoning… techniques; and third, cutting-edge advancements in neural-symbolic hybrid approaches to knowledge graph reasoning. The authors focus on the model and algorithm design aspect and study knowledge graphs from two perspectives: background knowledge graph and input query. Knowledge graph reasoning, which aims to infer and discover new knowledge from existing information in the knowledge graph, has played an important role in many real-world applications, such as question answering and recommender systems. A new trend in knowledge graph reasoning is the combination of neural models with symbolic knowledge graphs, allowing for the design of models that are not only efficient and accurate, but also interpretable. In this book, the authors study the application of neural-symbolic knowledge reasoning to different tasks from two perspectives: the input query and the background knowledge graph. 151 pp. Englisch.
- Hardcover
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- Hardcover
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- Hardcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
- Hardcover
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Hardcover. Condition: new. Hardcover. This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neural-based knowledge graph reasoning techniques; and third, cutting-edge advancements in…neural-symbolic hybrid approaches to knowledge graph reasoning. The authors focus on the model and algorithm design aspect and study knowledge graphs from two perspectives: background knowledge graph and input query. Knowledge graph reasoning, which aims to infer and discover new knowledge from existing information in the knowledge graph, has played an important role in many real-world applications, such as question answering and recommender systems. A new trend in knowledge graph reasoning is the combination of neural models with symbolic knowledge graphs, allowing for the design of models that are not only efficient and accurate, but also interpretable. In this book, the authors study the application of neural-symbolic knowledge reasoning to different tasks from two perspectives: the input query and the background knowledge graph. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neural-based knowledge graph reasoning tec…hniques; and third, cutting-edge advancements in neural-symbolic hybrid approaches to knowledge graph reasoning. The authors focus on the model and algorithm design aspect and study knowledge graphs from two perspectives: background knowledge graph and input query. Knowledge graph reasoning, which aims to infer and discover new knowledge from existing information in the knowledge graph, has played an important role in many real-world applications, such as question answering and recommender systems. A new trend in knowledge graph reasoning is the combination of neural models with symbolic knowledge graphs, allowing for the design of models that are not only efficient and accurate, but also interpretable. In this book, the authors study the application of neural-symbolic knowledge reasoning to different tasks from two perspectives: the input query and the background knowledge graph.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.
- Hardcover
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Buch. Condition: Neu. Neural Symbolic Knowledge Graph Reasoning | A Pathway Towards Neural Symbolic AI | Lihui Liu (u. a.) | Buch | Synthesis Lectures on Computer Science | xvi | Englisch | 2026 | Springer | EAN 9783032158574 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[…dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei|Liu, Weibin|Wang, Jun|Zhang, Shunli|Wang, Lihui|Yang, Yuxiang|Song, Bowen
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer Singapur|Springer, 2022
- Softcover
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 k.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei|Liu, Weibin|Wang, Jun|Zhang, Shunli|Wang, Lihui|Yang, Yuxiang|Song, Bowen
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2021
- Hardcover
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning.The book focuses on visual object tracking systems and approaches based on correlation filter a…nd deep learning. Both foundations and impleme.
