|
Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence
Description
(Chapman & Hall/CRC Computer Vision) 1st Edition
by George K. Thiruvathukal (Editor), Yung-Hsiang Lu (Editor), Jaeyoun Kim (Editor), Yiran Chen (Editor), Bo Chen (Editor)
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.
Details
Year:
2022
Pages:
436
Language:
English
Format:
PDF
Size:
22 MB
ISBN-10:
367744708
ISBN-13:
978-0367744700, 9780367744700
ASIN:
B09QF7LFHY
Share this product
You might also be interested in one of these books
|
KETAB DOWNLOAD
Hiding Data - Selected Topics: Rudolf Ahlswede’s Lectures on Information Theory 3
$10.00
