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Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence - Chapman & Hall / CRC Computer Vision
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Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence - Chapman & Hall / CRC Computer Vision
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015.
416 pages, 58 Tables, black and white; 61 Line drawings, color; 39 Line drawings, black and white; 1
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 4 de octubre de 2024 |
| ISBN13 | 9780367755287 |
| Editores | Taylor & Francis Ltd |
| Páginas | 438 |
| Dimensiones | 150 × 220 × 10 mm · 725 g |
| Lengua | Inglés |
| Editor | Chen, Bo |
| Editor | Chen, Yiran |
| Editor | Kim, Jaeyoun |
| Editor | Lu, Yung-Hsiang |
| Editor | Thiruvathukal, George K. (Loyola University Chicago, Chicago, Illinois) |
