The 10th IAPR Workshop on Graph-based Representation in Pattern Recognition was held in Beijing
May 19, 2015Author:
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The 10th IAPR Workshop on Graph-based Representation in Pattern Recognition (GbR) was held at the Institute of Automation of Chinese Academy of Sciences (CASIA) on May 13-15, 2015. The workshop was sponsored by the International Association for Pattern Recognition (IAPR), and hosted by the National Laboratory of Pattern Recognition of CASIA, co-chaired by Professor Cheng-Lin Liu from CASIA, Professor Bin Luo from Anhui University and Professor Walter G. Kropatsch from Vienna University of Technology. 


GbR is a workshop organized by the 15th Technical Committee of IAPR (IAPR TC-15), 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 and graph theory. Recently, graph-based structural models and probabilistic graphical models have been widely applied to pattern recognition, computer vision, machine learning and data mining. There are plenty of remaining research issues both in theoretical and application perspective. 


GbR is held every two years. The GbR2015 is the 10th in the series, and the first time held outside of Europe. It received 53 submissions, in which 36 were accepted for presentation after peer review. There were more than 50 participants, including researchers from Asia, Europe, North America and Oceania. Professor Marcello Pelillo from University of Venice and Dr. Xing Xie from Microsoft Research Asia addressed invited speeches respectively on graph theory and social networks. There were nine oral sessions. The workshop was a great success.