机读格式显示(MARC)
- 000 01630cam a2200361 i 4500
- 008 210831s2022 flua b 001 0 eng
- 020 __ |a 9780367744700 |q hbk
- 020 __ |a 9780367755287 |q pbk
- 020 __ |z 9781003162810 |q ebk
- 040 __ |a DLC |b eng |e rda |c DLC |d OCLCF |d OCLCO |d BDX |d OCLCO |d UKMGB |d OCLCO
- 050 00 |a TA1634 |b .L69 2022
- 082 00 |a 006.3/7 |2 23/eng/20211028
- 099 __ |a CAL 022023006638
- 245 00 |a Low-power computer vision : |b improve the efficiency of artificial intelligence / |c edited by George K. Thiruvathukal and [three others]
- 260 __ |a Boca Raton, FL : |b CRC Press, taylor & Francis Group, |c 2022.
- 300 __ |a xxi, 413 pages : |b illustrations ; |c 24 cm
- 336 __ |a text |2 rdacontent
- 337 __ |a unmediated |2 rdamedia
- 338 __ |a volume |2 rdacarrier
- 504 __ |a Includes bibliographical references 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.
- 650 _0 |a Low voltage systems.
- 700 1_ |a Thiruvathukal, George K. |q (George Kuriakose), |e editor.
- 776 08 |i ebook version : |z 9781000540963