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Computational Learning for Adaptive Computer Vision

Authors: Bhanu, Bir, Das, Subhodev

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eBook 106,99 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: June 10, 2016
  • ISBN 978-0-387-49790-7
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Hardcover 135,19 €
price for Spain (gross)
  • Due: June 10, 2016
  • ISBN 978-0-387-23703-9
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About this book

The goal of computer vision (CV) research is to provide computers with human-like perception capabilities so that they can sense the environment, understand the sensed data, take appropriate actions, and learn from this experience in order to enhance future performance. The field has evolved from the application of classical pattern recognition and image processing methods to advanced techniques in image understanding, like model-based and knowledge-based vision.

In recent years, there has been an increased demand for computer vision systems to address "real-world" applications, such as navigation, target recognition, manufacturing, photointerpretation, remote sensing, etc. This unique monograph details the way machine learning, a field concerned with the temporal improvement of computer algorithms and systems, can help create robust, flexible vision techniques for optimal functioning in real-world scenarios. Enriched by many concrete examples and illustrations, it is an indispensable reference for industry engineers and academics working in machine vision and AI.

Buy this book

eBook 106,99 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: June 10, 2016
  • ISBN 978-0-387-49790-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 135,19 €
price for Spain (gross)
  • Due: June 10, 2016
  • ISBN 978-0-387-23703-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Computational Learning for Adaptive Computer Vision
Authors
Copyright
2018
Publisher
Springer US
Copyright Holder
Springer Science+Business Media, LLC, part of Springer Nature
eBook ISBN
978-0-387-49790-7
Hardcover ISBN
978-0-387-23703-9
Edition Number
1
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.