@inproceedings{db9ae05400e94d9494bc603c50022ffb,
title = "Improving classifier accuracy by simulating fuzzy boundaries between classes",
abstract = "The pattern classification problem can be defined as one of assigning a label to a pattern of unknown class based on labelled prototype patterns. The method described in this paper is based on the following two ideas which appeal to our common sense: when the correctness of a classifier on a pattern x is in question, it is best to consider the performance of the same classifier on the patterns which are similar to x; and a classifier is usually accurate when the test pattern x falls close to the center of its class in feature space and prone to error when it falls near a class boundary.",
author = "Venu Govindaraju and Ianakiev Krassimir and Sargur Srihari",
note = "Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998 ; Conference date: 20-08-1998 Through 21-08-1998",
year = "1998",
doi = "10.1109/NAFIPS.1998.715556",
language = "English",
series = "Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "161--164",
editor = "Hall, \{Lawrence O.\} and Jim Bezdek",
booktitle = "1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998",
address = "United States",
}