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ICPRS 2021 : 11th International Conference on Pattern Recognition Systems

Online
Event Date: Mar 15, 2021 - Mar 19, 2021
Submission Deadline: Sep 25, 2020
Notification of Acceptance: Nov 27, 2020
Camera Ready Version Due : Nov 28, 2020

About

The 11th International Conference on Pattern Recognition Systems (ICPRS) is an annual event that follows ICPRS-19, ICPRS-18, ICPRS-17 and ICPRS-16, a continuation of the successful Chilean Conference on Pattern Recognition that reached its 6th edition in 2014. In 2021 it is organised by the Universidad de Talca (Chile) and the Chilean Association for Pattern Recognition (ACHiRP, a member of the IAPR), expected to be endorsed by the IAPR (tbc) and sponsored by the Vision and Imaging Professional Network of the Institution of Engineering and Technology (IET). As in previous years, papers will be published in electronic proceedings. Papers deemed to be of the required standard AND presented at the conference, will be normally indexed in IEEE Xplore and Scopus. All paper submissions need to be submitted via Conftool to be peer-reviewed by an international panel of experts.

The International Conference on Pattern Recognition Systems (ICPRS-21) aims to create an important networking forum in which participants can discuss the present and future of pattern recognition systems.

Call For Paper

Prospective authors are invited to submit full papers papers describing novel and previously unpublished results on all aspects of Pattern Recognition Systems, from academia, industry, NGOs and others, to be selected for oral presentations or posters, on topics including, but not limited to:

  • Artificial Intelligence Techniques in Pattern Recognition
  • Bioinformatics Clustering
  • Biometrics (including face recognition)
  • Computer Vision
  • Data Mining and Big Data
  • Deep Learning and Neural Networks for Pattern Recognition
  • Document Processing and Recognition
  • Fuzzy and Hybrid Techniques in PR
  • High Performance Computing for Pattern Recognition
  • Image Processing and Analysis
  • Kernel Machines
  • Mathematical Morphology
  • Mathematical Theory of Pattern Recognition
  • Natural Language Processing and Recognition
  • Object Detection, Tracking and Recognition
  • Pattern Recognition Principles
  • Real Systems, Applications and Case Studies of Pattern Recognition (e.g. health, environment, weather prediction,natural disasters, transportation, etc.)
  • Robotics
  • Remote Sensing
  • Shape and Texture Analysis
  • Social Media and HCI
  • Signal Processing and Analysis
  • Statistical Pattern Recognition
  • Syntactical and Structural Pattern Recognition
  • Voice and Speech Recognition

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