Intelligent Computing Theories and Application

12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9772)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Evolutionary Computation and Learning

    1. Front Matter
      Pages 1-1
    2. Eduyn Ramiro López-Santana, Germán Andrés Méndez-Giraldo, Carlos Alberto Franco-Franco
      Pages 3-15
    3. Qingke Zhang, Xiangxu Meng, Bo Yang, Weiguo Liu
      Pages 26-38
  3. Independent Component Analysis

    1. Front Matter
      Pages 39-39
    2. Jian-Xun Mi, Cong Li, Chao Li
      Pages 41-51
  4. Compressed Sensing, Sparse Coding

    1. Front Matter
      Pages 53-53
    2. Yun Ding, Qing Yan, Jing-Jing Zhang, Li-Na Xun, Chun-Hou Zheng
      Pages 55-66
    3. Sheng-Jun Li, Junliang Shang, Jin-Xing Liu, Huiyu Li
      Pages 67-77
  5. Social Computing

    1. Front Matter
      Pages 79-79
    2. Taisong Li, Jing Wang, Manshu Tu, Yan Zhang, Yonghong Yan
      Pages 81-92
  6. Neural Networks

    1. Front Matter
      Pages 93-93
    2. Xiangwen Wang, Xianghong Lin, Jichang Zhao, Huifang Ma
      Pages 95-104
    3. Haiyan Chen, Aihua Zhang, Shiya Hu
      Pages 105-116
    4. Guoquan Liu, Shumin Zhou, Xianxi Luo, Keyi Zhang
      Pages 117-129
  7. Nature Inspired Computing and Optimization

    1. Front Matter
      Pages 131-131
    2. Lizhi Peng, Haibo Zhang, Bo Yang, Yuehui Chen, Xiaoqing Zhou
      Pages 133-144
  8. Genetic Algorithms

    1. Front Matter
      Pages 145-145
    2. Amiyne Zakouni, Jiawei Luo, Fouad Kharroubi
      Pages 147-157

Other volumes

  1. 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part I
  2. Intelligent Computing Theories and Application
    12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II
  3. 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III

About these proceedings

Introduction

This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016.

The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.

 

Keywords

biological networks computer vision ensemble methods kernel methods neural networks artificial intelligence bioinformatics computational biology data mining and clustering deep learning dimensionality reduction and manifold learning feature selection molecular sequence analysis motif discovery reinforcement learning semi-supervised learning supervised learning support vector machines

Editors and affiliations

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-42294-7
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-42293-0
  • Online ISBN 978-3-319-42294-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book