Correntropy: A Localized Similarity Measure

178 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines (2018, methodology): “They achieve this by using a diﬀerent loss function based on correntropy , a localized similarity measure deﬁned in [74]. where and σ is a parameter for the kernel K .”
Robust feature learning by stacked autoencoder with maximum correntropy criterion (2014, background): “Recently, correntropy was proposed as a localized similarity measure based on information theoretic learning (ITL) and kernel methods [10].”