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Intelligence Science and Big Data Engineering

8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11266)

Included in the following conference series:

Conference proceedings info: IScIDE 2018.

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Table of contents (59 papers)

  1. Robots and Intelligent System

  2. Statistics and Learning

Other volumes

  1. Intelligence Science and Big Data Engineering

Keywords

About this book

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.​

Editors and Affiliations

  • Peking University, Beijing, China

    Yuxin Peng

  • Shanghai Jiao Tong University, Shanghai, China

    Kai Yu

  • Tsinghua University, Beijing, China

    Jiwen Lu

  • Central China Normal University, Wuhan, China

    Xingpeng Jiang

Bibliographic Information

  • Book Title: Intelligence Science and Big Data Engineering

  • Book Subtitle: 8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers

  • Editors: Yuxin Peng, Kai Yu, Jiwen Lu, Xingpeng Jiang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-02698-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-030-02697-4Published: 09 November 2018

  • eBook ISBN: 978-3-030-02698-1Published: 08 November 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 685

  • Number of Illustrations: 89 b/w illustrations, 204 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Data Mining and Knowledge Discovery

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