Recent Advances in Computer Vision Applications Using Parallel Processing
Language: English
Published by Springer, 2023
- Hardcover
- Used
Condition: Used
US$ 151.14
Quantity: 2 available
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Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods¿ run-time.
Seller Inventory # 41390523/1
- Title
- Recent Advances in Computer Vision Applications Using Parallel Processing
- Author
- Unbekannt
- Publisher
- Springer
- Publication year
- 2023
- Condition
- Hervorragend
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031187342
- ISBN 13
- 9783031187346
- Seller catalogs
- Bücher
This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.
"About the title" may belong to another edition of this title.
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