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ICPRS 2017 : International Conference on Pattern Recognition Systems


When Jul 12, 2017 - Jul 13, 2017
Where Madrid, Spain
Submission Deadline Apr 9, 2017
Notification Due May 21, 2017
Final Version Due Jun 4, 2017
Categories    pattern recognition   pattern applications   systems

Call For Papers

The Eight International Conference on Pattern Recognition Systems (ICPRS) is an annual event that follows ICPRS-16, originally a development from the successful Chilean Conference on Pattern Recognition that reached its 6th edition in 2014. In 2017 it is organised by the two Madrid universities (UPM and UC3M) and is sponsored by the Chilean Association for Pattern Recognition (ACHiRP), the Spanish Association for Pattern Recognition, the Spanish Association for Artificial Intelligence and the Vision and Imaging Professional Network of the (UK) 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). The conference is also endorsed by IAPR. Papers deemed to be of the required standard and presented at the conference, will be indexed by INSPEC and, through it, IEEE Xplore and Scopus. All paper submissions will be submitted via Conftool to be peer-reviewed by an international panel of experts. Excellent papers will be invited to submit extended versions for consideration in IET research journals (Computer Vision, Image Processing, Biometrics).

There are a number of keynote talks (including deep learning and big data) and a special session on Emotions in Groups and Crowds.

Interested authors are invited to submit papers describing novel and previously unpublished results on topics including, but not limited to: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
Computer Vision
Data Mining
Document Processing and Recognition
Face 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
Neural Networks for Pattern Recognition
Pattern Recognition Principles
Real Applications of Pattern Recognition
Remote Sensing
Shape and Texture Analysis
Signal Processing and Analysis
Statistical Pattern Recognition
Syntactical and Structural Pattern Recognition
Voice and Speech Recognition

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