Statistical properties of Delta divergence are analysed both theoretically and experimentally. The results of the analysis provide guidelines on the selection ...

Statistical properties of Delta divergence are analysed both theoretically and experimentally. The results of the analysis provide guidelines on the selection ...

This paper postulates the properties that a divergence measure should satisfy and proposes a novel divergence measure, referred to as delta divergence, ...

Dec 5, 2017 · In this paper, we investigate the sensitivity of Delta divergence, a novel measure of classifier incongruence, to estimation errors.

The novel, decision cognizant formulation of the classifier incongruence detection problem mitigates the clutter generated by nondominant class hypothe- ses ...

The focus in Delta divergence on the dominant hypotheses has a clutter reducing property, the significance of which grows with increasing number of classes. The ...

Jul 4, 2016 · The problem of detecting classifier incongruence was ad- dressed in the paper. It involves comparing the output of two classifiers to gauge ...

Error sensitivity analysis of Delta divergence-a novel measure for classifier incongruence detection. J Kittler, C Zor, I Kaloskampis, Y Hicks, W Wang.

Theoretical and experimental error sensitivity analysis of Delta divergence as a measure of classifier incongruence.Practical guidelines for selecting ...

Aug 17, 2024 · Error sensitivity analysis of Delta divergence - a novel measure for classifier incongruence detection. Pattern Recognit. 77: 30-44 (2018).