A metric learning approach to graph edit costs for regression (accepted in S+SSPR’21)

1 January 2021 api

By Linlin Jia, Benoit Gaüzère, Florian Yger, and Paul Honeine.

In Proceedings of the IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (S+SSPR), Venice, Italy, 21 – 22 January 2021.

Apprivoiser la Pré-image (APi, projet ANR)

A metric learning approach to graph edit costs for regression (accepted in S+SSPR’21)

Taming the Beast of the Preimage in Machine Learning for Structured Data: Signal, Image and Graph