Call for Papers
GbR is a biennial workshop organized by the 15th Technical Committee of IAPR, aimed at encouraging research works in Pattern Recognition and Image Analysis within the graph theory framework. This workshop series traditionally provides a forum for presenting and discussing research results and applications in the intersection of pattern recognition, image analysis on one side and graph theory on the other side. In addition, given the avenue of new structural/graphical models and structural criteria (e.g. belief-propagation, specific graphs under the constellation approach, graph kernels, graph-cuts, dominant sets) for solving computer vision problems, GbR2015 encourages researchers in this more general context to actively participate in the workshop. Furthermore, the applications of graphs to various problems of pattern recognition, machine learning and data mining are also highly welcome at the workshop.
The scope of GbR2015 includes, but is not limited to, the following topics:
- Graph matching
- Graph transformations
- Kernel methods for graphs
- Graph learning and clustering
- Graph-based image segmentation
- Graph-based shape recognition
- Graph based machine learning
- Data mining with graphs
- Probabilistic graphical models
- Belief-propagation methods
- Graph-cuts methods
- Graphs in computational topology and bioinformatics
- Applications in document analysis and other fields
Papers should have no more than 10 pages including all references, tables and figures. As the workshop proceedings will be published in the Springer LNCS series, papers must be formatted in the LNCS format. Paper submission instructions can be found under "Paper Submission".