Lam, K.P., Horne, E. (1993) Enhanced Kernel Estimation Technique For Pattern-Classification. Electronics Letters, 29 (24). pp. 2130-2131. ISSN 0013-5194. (doi:10.1049/el:19931424) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:22173)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.1049/el:19931424 |
Abstract
The Letter reports the application of a nonparametric density estimation technique, the generalised K-nearest-neighbour (K-NN) method, to a novel pattern classifier for binary images. In addition to offering an improved error rate performance over the fixed kernel method previously adopted, the method can be used to measure the inherent difficulty of a pattern classification problem because the nearest-neighbour error rate bounds the Bayes rate.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1049/el:19931424 |
| Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Depositing User: | M. Nasiriavanaki |
| Date Deposited: | 25 Jul 2009 20:16 UTC |
| Last Modified: | 05 Nov 2024 10:01 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/22173 (The current URI for this page, for reference purposes) |
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