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Low-Power Computer Vision

Low-Power Computer Vision

by George K. Thiruvathukal, Yung-Hsiang Lu,  Jaeyoun Kim and others
Hardback
Publication Date: 23/02/2022
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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.
ISBN:
9780367744700
9780367744700
Category:
Engineering: general
Format:
Hardback
Publication Date:
23-02-2022
Language:
English
Publisher:
CRC Press LLC
Country of origin:
United States
Dimensions (mm):
233.38x155.57mm
Weight:
0.84kg

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You can find this item in:

Computer networking & communications Computer vision Environmental science Energy Computer architecture & logic design Energy technology & engineering Mathematical theory of computation Ergonomics Electrical engineering Mobile & handheld device programming / Apps programming Graphical & digital media applications Information technology: general issues Communications engineering / telecommunications Engineering: general Games development & programming Automatic control engineering Neural networks & fuzzy systems Electronics engineering Image processing
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