TY  - CONF
AU  - Hana Jarraya
AU  - Oriol Ramos Terrades
AU  - Josep Llados
A2  - IbPRIA
PY  - 2017//
TI  - Graph Embedding through Probabilistic Graphical Model applied to Symbolic Graphs
BT  - 8th Iberian Conference on Pattern Recognition and Image Analysis
KW  - Attributed Graph
KW  - Probabilistic Graphical Model
KW  - Graph Embedding
KW  - Structured Support Vector Machines
N2  - We propose a new Graph Embedding (GEM) method that takes advantages of structural pattern representation. It models an Attributed Graph (AG) as a Probabilistic Graphical Model (PGM). Then, it learns the parameters of this PGM presented by a vector. This vector is a signature of AG in a lower dimensional vectorial space. We apply Structured Support Vector Machines (SSVM) to process classification task. As first tentative, results on the GREC dataset are encouraging enough to go further on this direction.
UR  - https://doi.org/10.1007/978-3-319-58838-4_43
L1  - http://refbase.cvc.uab.es/files/JRL2017a.pdf
N1  - DAG; 600.097; 600.121
ID  - Hana Jarraya2017
ER  -