Abstract:
In the general framework of pattern classification two reject strategies are identified. These classifiers are defined as a couple of labeling and hardening functions. In...Show MoreMetadata
Abstract:
In the general framework of pattern classification two reject strategies are identified. These classifiers are defined as a couple of labeling and hardening functions. In this paper the first stage of classifiers belonging to each strategy are used in turn and their results are combined with a Dempster-Shafer model to classify or reject patterns. Results on artificial data are provided.
Published in: 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)
Date of Conference: 10-12 June 1999
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-5211-4