Prospective authors are invited to contribute to the conference by electronically submitting full papers in English of no more than 8 pages including illustrations, tables and references. Papers have to be formatted following LNCS style guidelines. Papers will be evaluated based on their originality, quality and significance of theoretical and/or practical contribution to Pattern Recognition. At least one author of each accepted paper must register at the conference. Papers will be selected for oral presentations or poster presentations. Only papers presented at the conference will be included in the proceedings.

The proceedings of the conference will be published by Springer in the Lecture Notes in Computer Science series.

Submission via easychair in ciarp2017.org

Important Dates

Paper Submission Deadline: 21 May 2017
Notification of Acceptance: 1 August 2017
Camera-Ready Papers: 4 September 2017
Conference: 7-10 November 2017

CIARP 2017 will announce two awards:

- Best Paper Award
- Aurora Pons-Porrata Award

Extended versions of the CIARP 2017 best paper and an invited paper by the winner of the Aurora Pons-Porrata award will be included in a Special section of the journal Pattern Recognition Letters.

Topics of interest include (but are not limited to):
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- Artificial Intelligence Techniques in Pattern Recognition
- Bioinformatics
- Clustering and Applications
- Cognitive and Humanoid Vision
- Computer Vision
- Data Mining
- Data Visualization and Applications of Pattern Recognition
- Deep Learning
- Databases, Knowledge-based Systems and Linguistic tools
- Document Processing and Recognition
- Fuzzy and Hybrid Techniques in Pattern Recognition
- Geometric Algebra Application in Perception Action
- Image Coding, Processing and Analysis
- Intelligent Data Analysis
- Kernel Machines
- Logical Combinatorial Pattern Recognition
- Mathematical Morphology
- Mathematical Theory of Pattern Recognition
- Natural Language Processing and Recognition
- Neural Networks
- Opinion Mining and Sentiment Analysis
- Parallel and Distributed Pattern Recognition
- Petri Nets
- Robotics and Humanoids
- Remote Sensing Applications of Pattern Recognition
- Satellite and Radar Image Processing
- Shape and Textural Analysis
- Signal Processing and Analysis
- Spatio-Temporal Analysis
- Statistical Pattern Recognition
- Syntactical and Structural Pattern Recognition
- Speech Recognition and Analysis
- Text Mining