posted by user: velastin || 137 views || tracked by 1 users: [display]

ICPRS 2025 : 15th International Conference on Pattern Recognition Systems

FacebookTwitterLinkedInGoogle

Link: http://www.icprs.org
 
When Dec 1, 2025 - Dec 4, 2025
Where Vina del Mar, Chile
Submission Deadline Aug 3, 2025
Notification Due Oct 9, 2026
Final Version Due Oct 15, 2025
Categories    pattern recognition   machine learning   artificial intelligence
 

Call For Papers

The 15th International Conference on Pattern Recognition Systems (ICPRS-25) is an annual international event that follows ICPRS-24, ICPRS-23, ICPRS-22, ICPRS-21, 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 2025 it is organised by the University Adolfo Ibáñez (Viña del Mar, Chile) and the Chilean Association for Pattern Recognition (ACHiRP, a member of the IAPR), expected to be endorsed by the IAPR and the IEEE Chile Section. As per previous years, papers deemed to be of the required standard AND presented at the conference, are expected to be published by the IEEE and indexed in IEEE Xplore (tbc). Please note that the publishers might reject papers which are too similar to previous publications, even if the work is presented at the conference. All paper submissions need to be submitted via Conftool to be peer-reviewed (double-blind) by an international panel of experts. For more information, please see http://www.icprs.org. There will be a good set of keynote talks. ICPRS 2025 is planned to be a 100% in person. There is also a special “Student Paper” category for papers whose main author is a registered student at the time of submission.

Prospective authors are invited to submit papers describing novel and previously unpublished results on topics including, but not limited to: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
• Dataset: a new public dataset and baseline
• 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
• Medical Image Processing and Analysis
• Natural Language Processing and Recognition
• Object Detection, Tracking and Recognition
• Pattern Recognition Principles
• Pattern Recognition for optimization
• 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
• Signal Processing and Analysis
• Social Media and HCI
• Signal Processing and Analysis
• Statistical Pattern Recognition
• Syntactical and Structural Pattern Recognition
• Time series prediction
• Voice and Speech Recognition

Related Resources

IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
SCM 2024   7th International Conference on Soft Computing, Control and Mathematics
IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI
EI/Scopus-PRDM 2024   2024 5th International Conference on Pattern Recognition and Data Mining(PRDM 2024)
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
SPIE SPRA 2024   SPIE--2024 5th Symposium on Pattern Recognition and Applications (SPRA 2024)
SPRA 2024   SPIE--2024 5th Symposium on Pattern Recognition and Applications (SPRA 2024)
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
ICPRAM 2025   14th International Conference on Pattern Recognition Applications and Methods