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Low-power computer vision : = improv...

Thiruvathukal, George K.

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Low-power computer vision : = improve the efficiency of artificial intelligence /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Low-power computer vision :/ edited by George K. Thiruvathukal ... [et al.]
Reminder of title:	improve the efficiency of artificial intelligence /
other author:	Thiruvathukal, George K.
Published:	Boca Raton :CRC Press, : c2022.,
Description:	xxi, 413 p. :ill. (some col.) ;25 cm.
Subject:	Computer vision. -
ISBN:	9780367744700

Low-power computer vision : = improve the efficiency of artificial intelligence /
Low-power computer vision :improve the efficiency of artificial intelligence /edited by George K. Thiruvathukal ... [et al.] - 1st ed. - Boca Raton :CRC Press,c2022. - xxi, 413 p. :ill. (some col.) ;25 cm.

Includes bibliographical references (p. 327-402) and index.

"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: 9780367744700Subjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634 / .L69 2022

Dewey Class. No.: 006.37 / L95

Low-power computer vision : = improve the efficiency of artificial intelligence /
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050 0 0 $a TA1634 $b .L69 2022
082 0 # $a 006.37 $b L95
245 0 0 $a Low-power computer vision : $b improve the efficiency of artificial intelligence / $c edited by George K. Thiruvathukal ... [et al.]
250 $a 1st ed.
260 # $a Boca Raton : $b CRC Press, $c c2022.
300 $a xxi, 413 p. : $b ill. (some col.) ; $c 25 cm.
504 $a Includes bibliographical references (p. 327-402) and index.
520 # $a "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"-- $c Provided by publisher.
650 # 0 $a Computer vision. $3 540671
650 # 0 $a Low voltage systems. $3 817031
700 1 # $a Thiruvathukal, George K. $q (George Kuriakose) $3 3653273