Liu lihui (33 risultati)
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Hardback or Cased Book. Condizione: New. Neural Symbolic Knowledge Graph Reasoning: A Pathway Towards Neural Symbolic AI. Book.
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 53,21
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Condizione: New.
Editore: Cnpiecsb, 2017
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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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EUR 36,35
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Paperback. Condizione: New.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 68,21
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Condizione: New.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 65,82
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Hardcover. Condizione: Brand New. 167 pages. 6.69x0.44x9.61 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 49,57
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Buch. Condizione: 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; an…d 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.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 53,92
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Hardback. Condizione: 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-symb…olic 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
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Da: Buchpark, Trebbin, GermaniaBuchpark
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EUR 41,01
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Condizione: 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 ex…plored 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
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 140,68
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Condizione: New. In.
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
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Da: StainesBook, Weybridge, SURRE, Regno UnitoStainesBook
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EUR 124,16
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Condizione: 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
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
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EUR 180,03
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Condizione: New.
Visual Object Tracking from Correlation Filter to Deep Learning
Weiwei Xing, Weibin Liu, Jun Wang, Bowen Song, Lihui Wang, Yuxiang Yang, Shunli Zhang
- Brossura
Da: Buchpark, Trebbin, GermaniaBuchpark
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EUR 74,57
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Condizione: 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 ex…plored 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
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 193,93
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Condizione: 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
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 197,09
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Condizione: 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
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 218,05
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Paperback. Condizione: Brand New. 207 pages. 9.25x6.10x0.59 inches. In Stock.
Editore: Cnpiecsb, 2017
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 71,07
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Paperback. Condizione: 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
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 249,90
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Hardcover. Condizione: gut. 2021. Visual Object Tracking from Correlation Filter to Deep Learning In deutscher Sprache. pages.
Editore: Cnpiecsb, 2017
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Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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Paperback. Condizione: New.
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Da: moluna, Greven, Germaniamoluna
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EUR 28,86
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Condizione: New.
Editore: Cnpiecsb, 2017
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New.
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- Print on Demand
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Springer, Berlin, Springer Nature Switzerland, 2026
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 42,79
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Buch. Condizione: 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 reasonin…g 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.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 64,78
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Condizione: New. Print on Demand.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 53,93
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Hardcover. Condizione: 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.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 42,79
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Buch. Condizione: 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 te…chniques; 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.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei|Liu, Weibin|Wang, Jun|Zhang, Shunli|Wang, Lihui|Yang, Yuxiang|Song, Bowen
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer Singapur|Springer, 2022
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Da: moluna, Greven, Germaniamoluna
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EUR 127,40
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Kartoniert / Broschiert. Condizione: 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, syste…m 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
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2021
- Rilegato
- Print on Demand
Da: moluna, Greven, Germaniamoluna
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EUR 127,40
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Gebunden. Condizione: 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…and deep learning. Both foundations and impleme.
Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 200,60
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Condizione: New. Print on Demand.
