Visualising error surfaces for adaptive filters and other purposes

Fisher, MH, Mandic, DP, Bangham, JA and Harvey, RW (2000) Visualising error surfaces for adaptive filters and other purposes. In: IEEE International Conference Acoustics Speech and Signal Processing, ICASSP2000, 2000-06-05 - 2000-06-09.

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Abstract

Modern neural and adaptive systems often have complicated error performance surfaces with many local extrema. Visualising and understanding these surfaces is critical to effective tuning of these systems but almost all visualisation methods are confined to two dimensions. Here we show how to use a morphological scale-space transform to convert these multi-dimensional complex error surfaces into two-dimensional trees where the leaf nodes are local minima and other nodes represent decision points such as saddle points and points of inflection.

Item Type:	Conference or Workshop Item (Other)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Visual Computing and Signal Processing Faculty of Science > Research Groups > Smart Emerging Technologies (former - to 2025)
Depositing User:	EPrints Services
Date Deposited:	01 Oct 2010 13:41
Last Modified:	25 Apr 2025 00:36
URI:	https://ueaeprints.uea.ac.uk/id/eprint/3017
DOI:	10.1109/ICASSP.2000.860161

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