Informatics Report Series



Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Title:An Empirical Model for Saturation and Capacity in Classifier Space
Authors: Robert Fisher
Date:Aug 2006
Publication Title:Int. Conf. on Pattern Recognition
Publication Type:Conference Paper
When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification rate, given the noise level, dimensionality of the feature set and number of classes in the database. As best we can tell, no general results exist for this question, although many classification rates appear in different papers. This paper presents an empirical formula for MAP classification that links the number of discriminable classes to the error rate, dimensionality of the feature data and the feature noise level.
2006 by The University of Edinburgh. All Rights Reserved
This material is posted here with permission of the IEEE.Such permission of the IEEE does not in any way imply IEEE endorsement of any of Edinburgh's products or services. Internal or personal use of thismaterial is permitted. However, permission to reprint/republish this materialfor advertising or promotional purposes or for creating new collective worksfor resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Links To Paper
No links available
Bibtex format
author = { Robert Fisher },
title = {An Empirical Model for Saturation and Capacity in Classifier Space},
book title = {Int. Conf. on Pattern Recognition},
year = 2006,
month = {Aug},

Home : Publications : Report 

Please mail <> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh