Call for Papers

The first edition of International Conference on Pattern Analysis and Recognition (ICPAR 2019) aims to provide one major international forum for discussions on recent advancements and achievements in different areas of pattern analysis and recognition. The conference is looking for new theoretical results, techniques and main applications on any aspect of pattern analysis and recognition. The Conference would like to become a major point of contact between researchers, engineers and practitioners from all over the world. ICPAR 2019 aims to share ideas and achievements in the theory and practice of pattern analysis and recognition. The conference brings together experts from academia and industry to share their experiences and advance research in all aspects of pattern analysis and recognition.

Please click here to download the Call for Papers

 

Full paper deadline: March 30, 2019June 20, 2019.

Author Notification: July 20, 2019. August 25, 2019.

Camera-ready Paper/Registration: August 18, 2019. Sebtember 8, 2019.

Conference Dates: October 22, 2019.

Topics of interest scope including but not limited to the following:

  •         Statistical, structural and syntactic pattern recognition,
  •         Neural networks,
  •         Machine learning,
  •         Data mining
  •         Graph-based techniques for pattern recognition,
  •         Object recognition,
  •         Signal analysis,
  •        Image coding and processing,
  •         Shape and texture analysis
  •         Computer vision,
  •         Robotics,
  •         Remote sensing
  •         Document processing,
  •         Text and graphics recognition,
  •         Digital libraries
  •         Speech recognition,
  •         Music analysis,
  •         Multimedia systems
  •         Natural language analysis,
  •         Information retrieval
  •         Biometrics,
  •         Biomedical pattern analysis,
  •         Scientific applications of pattern recognition,
  •         Engineering applications of pattern recognition,
  •         Social applications of pattern recognition,
  •         Economical applications of pattern recognition.
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