DAGM GCPR | 2014
36th German Conference on Pattern Recognition, Münster
Call for Papers (PDF version)
GCPR 2014 is the 36th annual symposium of the German Association for Pattern Recognition (DAGM). This conference series was among the oldest and largest domestic conferences on pattern recognition, machine learning, image processing, and computer vision. The conference language is English. To reflect the internationalization of the annual DAGM symposia in the past years, the former name 'DAGM Symposium' has been changed to German Conference on Pattern Recognition (GCPR) in 2013.
The conference addresses recent advances in theory, methodology, and applications of pattern recognition. Authors are invited to submit high-quality papers presenting previously unpublished work. Submitted papers will be reviewed based on the criteria of originality, soundness, empirical evaluation, and presentation. In the long tradition of this conference series, the single track program and poster sessions will provide ample opportunity for open-minded discussions and interaction. The conference will also include tutorials, workshops, and a Young Researchers Forum.
The scope of GCPR 2014 includes, but is not limited to, the following topics: The paper length is limited to 10 pages (plus references, which are expected to be at most 2 pages in usual cases). In addition, supplementary materials can be submitted. All manuscripts will be subject to a double-blind review process. The proceedings will be published in the Springer LNCS series. The best contributions will receive GCPR awards.
As organizers of GCPR 2014 we look forward to your contributions and to welcoming you in Münster.
Xiaoyi Jiang (General Chair)
Joachim Hornegger, Reinhard Koch (Program Chairs)
- Image/video processing, analysis, and computer vision
- Machine learning and pattern recognition
- Mathematical foundations, statistical data analysis and models
- Computational photography and confluence of vision and graphics
- Biomedical image processing and analysis
- Document analysis
- Speech and signal processing