GbRPR 2019 : International Workshop on Graph-Based Representations in Pattern Recognition

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 for solving computer vision problems, GbR2019 organization encourages researchers in this more general context to actively participate in the workshop. Furthermore, the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics is also highly welcome at the workshop.

The scope of GbR2019 includes, but is not limited to, the following topics:

Graph matching
Graph-based image segmentation
Deep Learning on graphs
Graph representation of shapes
Graph-based learning and clustering
Data mining with graphs
Graph distance and similarity measures
Kernel methods for graphs
Graph embeddings
Belief-propagation methods
Graph-cuts methods
Graphs in computational topology and bioinformatics
Graphs in social network analysis