Observations Concerning Reconstructions with Local Support Report LiTH-ISY-R-2425

نویسنده

  • Per-Erik Forssén
چکیده

This report describes how the choice of kernel affects a non-parametric density estimation. Methods for accurate localisation of peaks in the estimated densities are developed for Gaussian and cos kernels. The accuracy and robustness of the peak localisation methods are studied with respect to noise, number of samples, and interference between peaks. Although the peak localisation is formulated in the framework of non-parametric density estimation, the results are also applicable to associative learning with localised responses.

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تاریخ انتشار 2002