@InProceedings{OliveiraBenSabBorSue:2001:FeSuSe,
author = "Oliveira, L. S. and Benahmed, N. and Sabourin, R. and Bortolozzi,
F. and Suen, C. Y.",
title = "Feature subset selection using genetic algorithms for handwritten
digit recognition",
booktitle = "Proceedings...",
year = "2001",
editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
pages = "362--369",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Florian{\'o}polis, SC, Brazil, from
October 15 to 18.",
keywords = "feature subset selection, genetic algorithms, handwritten digit
recognition.",
abstract = "In this paper two approaches of genetic algorithm for feature
subset selection are compared. The first approach considers a
simple genetic algorithm (SGA) while the second one takes into
account an iterative genetic algorithm (IGA) which is claimed to
converge faster than SGA. Initially, we present an overview of the
system to be optimized and the methodology applied in the
experiments as well. Afterwards we discuss the advantages and
drawbacks of each approach based on the experiments carried out on
NIST SD19. Finally, we conclude that the IGA converges faster than
the SGA, however, the SGA seems more suitable for our problem.",
conference-location = "Florian{\'o}polis, SC, Brazil",
conference-year = "15-18 Oct. 2001",
doi = "10.1109/SIBGRAPI.2001.963077",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963077",
language = "en",
organisation = "SBC - Brazilian Computer Society",
ibi = "6qtX3pFwXQZeBBx/wpAPK",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wpAPK",
targetfile = "362-369.pdf",
urlaccessdate = "2024, Apr. 28"
}