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Image and Signal Processing: 9th International Conference, ICISP 2020, Marrakesh, Morocco, June 46, 2020, Proceedings 1st ed. 2020 [Pehme köide]

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  • Formaat: Paperback / softback, 386 pages, kõrgus x laius: 235x155 mm, kaal: 611 g, 127 Illustrations, color; 52 Illustrations, black and white; XIV, 386 p. 179 illus., 127 illus. in color., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12119
  • Ilmumisaeg: 09-Jul-2020
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030519341
  • ISBN-13: 9783030519346
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Image and Signal Processing: 9th International Conference, ICISP 2020, Marrakesh, Morocco, June 46, 2020, Proceedings 1st ed. 2020Suurem pilt
  • Formaat: Paperback / softback, 386 pages, kõrgus x laius: 235x155 mm, kaal: 611 g, 127 Illustrations, color; 52 Illustrations, black and white; XIV, 386 p. 179 illus., 127 illus. in color., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12119
  • Ilmumisaeg: 09-Jul-2020
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030519341
  • ISBN-13: 9783030519346
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030519346.html
Märksõnad:
This volume constitutes the refereed proceedings of the 9th International Conference on Image and Signal Processing, ICISP 2020, which was due to be held in Marrakesh, Morocco, in June 2020. The conference was cancelled due to the COVID-19 pandemic.

The 40 revised full papers were carefully reviewed and selected from 84 submissions. The contributions presented in this volume were organized in the following  topical sections: digital cultural heritage & color and spectral imaging; data and image processing for precision agriculture; machine learning application and innovation; biomedical imaging; deep learning and applications; pattern recognition; segmentation and retrieval; mathematical imaging & signal processing.
Digital Cultural Heritage & Color and Spectral Imaging.- Data and Image Processing for Precision Agriculture.- Machine Learning Application and Innovation.- Biomedical Imaging.- Deep Learning and Applications.- Pattern Recognition.- Segmentation and Retrieval.- Mathematical Imaging & Signal Processing.