38 citations · 84 across the 6 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
cs.DS2015★ 4 cited
Graph edit distance : a new binary linear programming formulation
Julien Lerouge, Zeina Abu-Aisheh, Romain Raveaux +2
Graph edit distance (GED) is a powerful and flexible graph matching paradigm that can be used to address different tasks in structural pattern recognition, machine learning, and da…
cs.LG2015★ 1 cited
Deep Neural Networks Regularization for Structured Output Prediction
Soufiane Belharbi, Romain Hérault, Clément Chatelain +1
A deep neural network model is a powerful framework for learning representations. Usually, it is used to learn the relation by exploiting the regularities in the input $x…