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Image for Low-Power Computer Vision

Low-Power Computer Vision : Improve the Efficiency of Artificial Intelligence

Chen, Bo(Edited by), Chen, Yiran(Edited by), Kim, Jaeyoun(Edited by), Lu, Yung-Hsiang(Edited by), Thiruvathukal, George K. (Loyola University Chicago, Chicago, Illinois)(Edited by)
Part of the Chapman & Hall/CRC Computer Vision series
See all formats and editions

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.

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£66.29 Save 15.00%
RRP £77.99
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Product Details
Chapman & Hall/CRC
0367744708 / 9780367744700
Hardback
006.37
23/02/2022
United Kingdom
English
344 pages : illustrations (black and white, and colour)
24 cm
UT Computer networking & communications, UYQN Neural networks & fuzzy systems, UYQV Computer vision
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