Description
| Product ID: | 9780367744700 |
| Product Form: | Hardback |
| Country of Manufacture: | US |
| Series: | Chapman & Hall/CRC Computer Vision |
| Title: | Low-Power Computer Vision |
| Subtitle: | Improve the Efficiency of Artificial Intelligence |
| Authors: | Author: Bo Chen, Yung-Hsiang Lu, Yiran Chen, Jaeyoun Kim, George K. Thiruvathukal |
| Page Count: | 436 |
| Subjects: | Computer networking and communications, Computer networking & communications, Neural networks and fuzzy systems, Computer vision, Neural networks & fuzzy systems, Computer vision |
| Description: | 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. 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. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-02-23 |
