TY  - CONF
AU  - Pau Riba
AU  - Anjan Dutta
AU  - Josep Llados
AU  - Alicia Fornes
A2  - GREC
PY  - 2017//
TI  - Graph-based deep learning for graphics classification
BT  - 12th IAPR International Workshop on Graphics Recognition
SP  - 29
EP  - 30
N2  - 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
L1  - http://refbase.cvc.uab.es/files/RDL2017b.pdf
N1  - DAG; 600.097; 601.302; 600.121
ID  - Pau Riba2017
ER  -