Challenges and applications for implementing machine learning in computer vision

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

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Weitere Verfasser: Kashyap, Ramgopal (HerausgeberIn), Kumar, A. V. Senthil 1966- (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, PA IGI Global [2020]
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505 8 |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 
520 |a "This book examines the latest advances and trends in computer vision and machine learning algorithms for various applications"-- 
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Datensatz im Suchindex

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contents 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
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spelling Challenges and applications for implementing machine learning in computer vision Ramgopal Kashyap, A.V. Senthil Kumar
Hershey, PA IGI Global [2020]
1 Online-Ressource
txt rdacontent
c rdamedia
cr rdacarrier
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
"This book examines the latest advances and trends in computer vision and machine learning algorithms for various applications"--
Computer vision
Machine learning
Computer vision fast
Machine learning fast
Kashyap, Ramgopal edt
Kumar, A. V. Senthil 1966- (DE-588)1042800766 edt
Erscheint auch als Druck-Ausgabe, hardcover 978-1-7998-0182-5
Erscheint auch als Druck-Ausgabe, softcover 978-1-7998-0183-2
https://doi.org/10.4018/978-1-7998-0182-5 Verlag URL des Erstveröffentlichers Volltext
spellingShingle Challenges and applications for implementing machine learning in computer vision
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
Computer vision
Machine learning
Computer vision fast
Machine learning fast
title Challenges and applications for implementing machine learning in computer vision
title_auth Challenges and applications for implementing machine learning in computer vision
title_exact_search Challenges and applications for implementing machine learning in computer vision
title_full Challenges and applications for implementing machine learning in computer vision Ramgopal Kashyap, A.V. Senthil Kumar
title_fullStr Challenges and applications for implementing machine learning in computer vision Ramgopal Kashyap, A.V. Senthil Kumar
title_full_unstemmed Challenges and applications for implementing machine learning in computer vision Ramgopal Kashyap, A.V. Senthil Kumar
title_short Challenges and applications for implementing machine learning in computer vision
title_sort challenges and applications for implementing machine learning in computer vision
topic Computer vision
Machine learning
Computer vision fast
Machine learning fast
topic_facet Computer vision
Machine learning
url https://doi.org/10.4018/978-1-7998-0182-5
work_keys_str_mv AT kashyapramgopal challengesandapplicationsforimplementingmachinelearningincomputervision
AT kumaravsenthil challengesandapplicationsforimplementingmachinelearningincomputervision