On the granularity of summative kernelsReportar como inadecuado




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1 LIRMM - Laboratoire d-Informatique de Robotique et de Microélectronique de Montpellier 2 ICAR - Image & Interaction LIRMM - Laboratoire d-Informatique de Robotique et de Microélectronique de Montpellier

Abstract : In this paper, we propose granularity as a new index to characterize the non-specificity of a summative kernel. This index is intended to reflect the behavior of a kernel in the usual signal processing applications. We show, in different experiments, that two kernels having the same granularity have very similar behavior. This granularity-based adaptation is compared to other adaptation methods. These experiments highlight the ability of the granularity index to measure the spreading and collecting properties of a summative kernel.

Keywords : Summative Maxitive kernels Granularity Possibility Probability theory Signal processing Adaptation





Autor: Kevin Loquin - Olivier Strauss -

Fuente: https://hal.archives-ouvertes.fr/



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