© 2005

Computer Recognition Systems

Proceedings of the 4th International Conference on Computer Recognition Systems CORES ’05

  • Marek Kurzyński
  • Edward Puchała
  • Michał Woźniak
  • Andrzej żołnierek
  • Presents the latest results in Computer recognition Systems, Pattern Recognition, Machine Learning, Web and Data mining

Conference proceedings

Part of the Advances in Soft Computing book series (AINSC, volume 30)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Dmitry Chetverikov, Renaud Péteri
      Pages 17-26
    3. Robert P. W. Duin, Elżbieta Pekalska
      Pages 27-42
    4. Juliusz L. Kulikowski
      Pages 43-52
  3. Features, Learning and Classifiers

    1. Front Matter
      Pages 69-69
    2. Weilong Chen, Meng Joo Er, Shiqian Wu
      Pages 137-144
    3. Tomasz Czogala, Jacek M. Leski
      Pages 145-152
    4. Damian Dudek, Aleksander Zgrzywa
      Pages 153-160
    5. Marcin Grzegorzek, Michael Reinhold, Heinrich Niemann
      Pages 161-168

About these proceedings


CORES'05 is the 4th International Conference on Computer Recognition Systems organized by Chair of Computer Systems and Networks of Wroclaw University of  Technology each two years. The conference is endorsed by the International Association for Pattern Recognition. The CORES'05 Conference aims to bring together researches and to provide an international forum for the sharing, exchange, presentation and discussion of original research results in both methodological issues and different application areas of pattern recognition. The conference covers all topics in pattern recognition including:

1. Classification and interpretation of text, video, voice

2. Statistical, soft and structural methods of pattern recognition

3. Image processing, analysis and interpretation

4. Features extraction and selection

5. Machine learning

6. Trends and relations recognition and analysis

7. Data and Web mining

8. Machine-oriented knowledge representation and inference methods

9. Knowledge-based decision support systems

10. Advanced signal processing methods

11. Special hardware architecture

12. Applications


Signal architecture classification cognition computer vision decision support system image processing knowledge learning machine learning pattern recognition web mining

Editors and affiliations

  • Marek Kurzyński
    • 1
  • Edward Puchała
    • 1
  • Michał Woźniak
    • 1
  • Andrzej żołnierek
    • 1
  1. 1.Faculty of ElectronicsWroclaw University of TechnologyWroclawPoland

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking