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Out-of-Sample Extension of the Fuzzy Transform

Spoke 02
Spoke 02
23 Ottobre 2023
Out-of-Sample Extension of the Fuzzy Transform

Abstract:

This article addresses the definition and computation of the out-of-sample membership functions and the resulting out-of-sample fuzzy transform (FT), which extend their discrete counterparts to the continuous case.

Through the out-of-sample FT, we introduce a coherent analysis of the discrete and continuous FTs, which is applied to extrapolate the behavior of the FT on new data and to achieve an accurate approximation of the continuous FT of signals on arbitrary data.

To this end, we apply either an approximated approach, which considers the link between integral kernels and the spectrum of the corresponding Gram matrix, or an interpolation of the discrete kernel eigenfunctions with radial basis functions.

In this setting, we show the generality of the proposed approach to the input data (e.g., graphs, 3-D domains) and signal reconstruction.

Published:

23 October 2023

RAISE Affiliate:

Spoke 2

Name of the Journal:

IEEE Transactions on Fuzzy Systems

Publication type:

Contribution in journal

DOI:

10.1109

Finaziato dall'Unione Europea Ministero dell'Università e della Ricerca Italia Domani Raise