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© 2019

Intelligence Science and Big Data Engineering. Big Data and Machine Learning

9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II

  • Zhen Cui
  • Jinshan Pan
  • Shanshan Zhang
  • Liang Xiao
  • Jian Yang
Conference proceedings IScIDE 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11936)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11936)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Minmin Lin, Zhisen Wei, Baoxing Chen, Wenjie Zhang, Jingmin Yang
    Pages 1-14
  3. Wei-min Wang, Rong-rong Gu, Shou-fu Fu, Dong-sheng Wang
    Pages 65-77
  4. Junhui Zhao, Tianqi Zhu, Ruidong Zhao, Peize Zhao
    Pages 78-88
  5. Ziyu Zhao, Weili Zeng, Zhengfeng Xu, Zhao Yang
    Pages 89-100
  6. Jingru Fu, Lei Zhang
    Pages 101-113
  7. Tieke He, Yu Li, Zhipeng Zou, Qing Wu
    Pages 151-162
  8. Jia Shuai, JiaMing Chen, Meng Yang
    Pages 163-174
  9. He Shi, Qun Yang, Bo Wang, Shaohan Liu, Kai Zhou
    Pages 175-186
  10. Kai Zhou, Qun Yang, XiuSong Sun, ShaoHan Liu, JinJun Lu
    Pages 187-196
  11. Wenjin Huang, Shikui Tu, Lei Xu
    Pages 197-208
  12. Zhenxing Xu, Junyi Zhang, Daoqiang Zhang, Hanyu Wei
    Pages 209-218
  13. Wei Dai, Siyuan Sheni, Tieke Hei
    Pages 219-231
  14. Ge Yan, Yu Li, Shu Zhang, Zhenyu Chen
    Pages 232-242

Other volumes

  1. 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part I
  2. Intelligence Science and Big Data Engineering. Big Data and Machine Learning
    9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II

About these proceedings

Introduction

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.

The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

 


Keywords

artificial intelligence computational linguistics computer networks computer vision data mining face recognition image coding image processing image reconstruction image segmentation imaging systems learning algorithms neural networks object detection object recognition remote sensing semantics signal processing

Editors and affiliations

  • Zhen Cui
    • 1
  • Jinshan Pan
    • 2
  • Shanshan Zhang
    • 3
  • Liang Xiao
    • 4
  • Jian Yang
    • 5
  1. 1.Nanjing University of Science and TechnologyNanjingChina
  2. 2.Nanjing University of Science and TechnologyNanjingChina
  3. 3.Nanjing University of Science and TechnologyNanjingChina
  4. 4.Nanjing University of Science and TechnologyNanjingChina
  5. 5.Nanjing University of Science and TechnologyNanjingChina

Bibliographic information

  • Book Title Intelligence Science and Big Data Engineering. Big Data and Machine Learning
  • Book Subtitle 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II
  • Editors Zhen Cui
    Jinshan Pan
    Shanshan Zhang
    Liang Xiao
    Jian Yang
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-030-36204-1
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-030-36203-4
  • eBook ISBN 978-3-030-36204-1
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XX, 455
  • Number of Illustrations 212 b/w illustrations, 145 illustrations in colour
  • Topics Image Processing and Computer Vision
    Artificial Intelligence
    Data Mining and Knowledge Discovery
    Models and Principles
  • Buy this book on publisher's site
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