> Details

Huang, De-Shuang [Author] ; Gan, Yong [Other]; Gupta, Phalguni [Other]; Gromiha, M. Michael [Other]

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence : 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Book; Conference Proceedings
  • Title: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence : 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers
  • Contributor: Huang, De-Shuang [Author]; Gan, Yong [Other]; Gupta, Phalguni [Other]; Gromiha, M. Michael [Other]
  • imprint: Berlin, Heidelberg: Springer Berlin Heidelberg, 2012
  • Published in: Lecture notes in computer science ; 6839
    Bücher
  • Extent: Online-Ressource (XXIII, 729p, digital)
  • Language: English
  • DOI: 10.1007/978-3-642-25944-9
  • ISBN: 9783642259449
  • Identifier:
  • RVK notation: SS 4800 : Lecture notes in computer science
  • Keywords: Soft Computing > Lernendes System > Bildverarbeitung > Maschinelles Lernen > Wissenstechnik > Automation > Reihenfolgeproblem
  • Origination:
  • Footnote:
  • Description: This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on intelligent computing in scheduling; local feature descriptors for image processing and recognition; combinatorial and numerical optimization; machine learning theory and methods; intelligent control and automation; knowledge representation/reasoning and expert systems; intelligent computing in pattern recognition; intelligent computing in image processing; intelligent computing in computer vision; biometrics with applications to individual security/forensic sciences; modeling, theory, and applications of positive systems; sparse manifold learning methods and applications; advances in intelligent information processing.