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Intelligence Science and Big Data Engineering [electronic resource] : 8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11266Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XVIII, 685 p. 293 illus., 204 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030026981
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.37 23
LOC classification:
  • TA1634
Online resources:
Contents:
Robots and intelligent systems -- Statistics and learning -- Deep learning -- Objects and language -- Classification and clustering -- Imaging -- Biomedical signal processing.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2018, held in Lanzhou, China, in August 2018. The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions. They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.
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Robots and intelligent systems -- Statistics and learning -- Deep learning -- Objects and language -- Classification and clustering -- Imaging -- Biomedical signal processing.

This book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2018, held in Lanzhou, China, in August 2018. The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions. They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.

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