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Observations Concerning Reconstructions with Local Support

Per-Erik Forssén
LiTH-ISY-R-2425
April 2002

Abstract

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 cos2 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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Bibtex entry

@TechReport{pf02b,
  author = 	 {Per-Erik Forss\'en},
  title = 	 {Observations Concerning Reconstructions with Local Support},
  institution =  {Dept. EE, Link\"oping University},
  year = 	 {2002},
  number = 	 {LiTH-ISY-R-2425},
  address =	 {SE-581 83 Link\"oping, Sweden},
  month = 	 {April}
}

Per-Erik Forssén
 

Per-Erik Forssén

Contact:

Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654

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Senast uppdaterad: 2023-09-06