4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2018
Relational Constraints for Metric Learning on Relational Data
Jiajun Pan, Hoel Le Capitaine, Philippe Leray
Most of metric learning approaches are dedicated to be applied on data described by feature vectors, with some notable exceptions such as times series, trees or graphs. The objecti…
cs.LG2016★ 4 cited
Constraint Selection in Metric Learning
Hoel Le Capitaine
A number of machine learning algorithms are using a metric, or a distance, in order to compare individuals. The Euclidean distance is usually employed, but it may be more efficient…