PT Unknown
AU Pau Riba
   Anjan Dutta
   Josep Llados
   Alicia Fornes
TI Graph-based deep learning for graphics classification
BT 12th IAPR International Workshop on Graphics Recognition
PY 2017
BP 29
EP 30
AB Graph-based representations are a common way to deal with graphics recognition problems. However, previous works were mainly focused on developing learning-free techniques. The success of deep  learning frameworks have proved that learning is a powerful tool to solve many problems, however it is not straightforward to extend these methodologies to non euclidean data such as graphs. On the other hand, graphs are a good representational structure for graphical entities. In this work, we present some deep learning techniques that have been proposed in the literature for graph-based representations andwe show how they can be used in graphics recognition problems
ER