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ICPRS 2019 : 10th International Conference on Pattern Recognition Systems

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Link: http://www.icprs.org
 
When Jul 8, 2019 - Jul 10, 2019
Where Tours, France
Submission Deadline Mar 27, 2019
Notification Due Apr 24, 2019
Final Version Due May 12, 2019
Categories    pattern recognition   pattern recognition systems   applied pattern recognition
 

Call For Papers

Final deadline: 27th March 2019

The 10th International Conference on Pattern Recognition Systems (ICPRS) is an annual event that follows ICPRS-18, ICPRS-17, ICPRS-16, a continuation the successful Chilean Conference on Pattern Recognition that reached its 6th edition in 2014. In 2019 it is organised by the Université de Tours (France) and is endorsed by the IAPR and sponsored by the Chilean Association for Pattern Recognition (ACHiRP) and the Vision and Imaging Professional Network of the Institution of Engineering and Technology (IET) who will publish its proceedings (provided that at least one author registers and presents the work at the conference). Papers deemed to be of the required standard will be published by the IET (IET Digital Library) and indexed by INSPEC and, normally through it, by IEEE Xplore and Scopus, provided that at least one of the authors registers AND presents the work.

All paper submissions will be submitted on-line to be peer-reviewed by an international panel of experts. Authors of exceptional papers may be encouraged to submit extended versions to be considered for publication in an IET JCR peer-reviewed journal (e.g. IET Computer Vision Journal, IET Image Processing Journal or IET Biometrics Journal).

Full papers, in English, are invited on all aspects of Pattern Recognition Systems, from academia, industry, NGOs and others, to be selected for oral presentations or posters through a peer-review system. An indicative, not exclusive, list of relevant topics is:

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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