GbR 2011 - TC-15 Workshop on Graph-based Representations in Pattern Recognition
Topics/Call fo 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 and image analysis on one side and graph theory on the other side. GbR2011 organization encourages researchers in this broad field to actively participate in the workshop. Furthermore, the application of graphs to pattern recognition problems in other fields like social sciences, computational chemistry, and bioinformatics is also highly welcome at the workshop.
The scope of GbR2011 includes, but not limited to, the following topics:
Graph matching
Graph based image segmentation
Graph representation of shapes
Graph learning and clustering
Graph based learning
Graphs vs rigid structures (quadtrees, pyramids)
Irregular (graph) pyramids
Graph-cuts methods
Graph transformations
Graphs in constellation models
Kernel methods for graphs
Substructure mining
Data mining with graphs
Belief-propagation methods
Hypergraph analysis
Pattern learning in graph data
Graph applications in social sciences
Graphs in computational chemistry and bioinformatics
Accepted papers will be included in the workshop proceedings published in the LNCS series of Springer. A Special Issue with selected best papers will be printed in Pattern Recognition Letters (Elsevier).
The scope of GbR2011 includes, but not limited to, the following topics:
Graph matching
Graph based image segmentation
Graph representation of shapes
Graph learning and clustering
Graph based learning
Graphs vs rigid structures (quadtrees, pyramids)
Irregular (graph) pyramids
Graph-cuts methods
Graph transformations
Graphs in constellation models
Kernel methods for graphs
Substructure mining
Data mining with graphs
Belief-propagation methods
Hypergraph analysis
Pattern learning in graph data
Graph applications in social sciences
Graphs in computational chemistry and bioinformatics
Accepted papers will be included in the workshop proceedings published in the LNCS series of Springer. A Special Issue with selected best papers will be printed in Pattern Recognition Letters (Elsevier).
Other CFPs
Last modified: 2010-09-19 09:54:14