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Challenges and applications for impl...

Kashyap, Ramgopal, (1984-)

Challenges and applications for implementing machine learning in computer vision

Record Type:	Electronic resources : Monograph/item
Title/Author:	Challenges and applications for implementing machine learning in computer visionRamgopal Kashyap and A.V. Senthil Kumar, editors.
other author:	Kashyap, Ramgopal,
Published:	Hershey, Pennsylvania :IGI Global,2020
Description:	1 online resource (xxv, 293 p.)
Subject:	Computer vision.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0182-5
ISBN:	9781799801849 (ebk.)

Challenges and applications for implementing machine learning in computer vision
Challenges and applications for implementing machine learning in computer vision[electronic resource] /Ramgopal Kashyap and A.V. Senthil Kumar, editors. - Hershey, Pennsylvania :IGI Global,2020 - 1 online resource (xxv, 293 p.)

Includes bibliographical references and index.

Chapter 1. Development of class attendance system using face recognition for faculty of mechanical and manufacturing engineering, Universiti Tun Hussein Onn Malaysia -- Chapter 2. Deep learning in computational neuroscience -- Chapter 3. Advanced diagnosis techniques in medical imaging -- Chapter 4. Challenges of applying deep learning in real-world applications -- Chapter 5. Challenges and applications for implementing machine learning in computer vision: machine learning applications and approaches -- Chapter 6. Medical imaging importance in the real world -- Chapter 7. Image processing approaches and disaster management -- Chapter 8. Artificial intelligence and machine learning algorithms -- Chapter 9. Application of content-based image retrieval in medical image acquisition -- Chapter 10. Machine learning for health data analytics: a few case studies of application of regression.

Restricted to subscribers or individual electronic text purchasers.

"This book examines the latest advances and trends in computer vision and machine learning algorithms for various applications"--

ISBN: 9781799801849 (ebk.)Subjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634 / .C44 2020e

Dewey Class. No.: 006.3/7

Challenges and applications for implementing machine learning in computer vision
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020 $a 9781799801825 (hbk.)
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050 0 0 $a TA1634 $b .C44 2020e
082 0 0 $a 006.3/7 $2 23
245 0 0 $a Challenges and applications for implementing machine learning in computer vision $h [electronic resource] / $c Ramgopal Kashyap and A.V. Senthil Kumar, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020
300 $a 1 online resource (xxv, 293 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Development of class attendance system using face recognition for faculty of mechanical and manufacturing engineering, Universiti Tun Hussein Onn Malaysia -- Chapter 2. Deep learning in computational neuroscience -- Chapter 3. Advanced diagnosis techniques in medical imaging -- Chapter 4. Challenges of applying deep learning in real-world applications -- Chapter 5. Challenges and applications for implementing machine learning in computer vision: machine learning applications and approaches -- Chapter 6. Medical imaging importance in the real world -- Chapter 7. Image processing approaches and disaster management -- Chapter 8. Artificial intelligence and machine learning algorithms -- Chapter 9. Application of content-based image retrieval in medical image acquisition -- Chapter 10. Machine learning for health data analytics: a few case studies of application of regression.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book examines the latest advances and trends in computer vision and machine learning algorithms for various applications"-- $c Provided by publisher.
650 0 $a Computer vision. $3 200113
650 0 $a Machine learning. $3 188639
700 1 $a Kashyap, Ramgopal, $d 1984- $e editor. $3 875078
700 1 $a Kumar, A. V. Senthil, $d 1966- $3 582122
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0182-5