TY - GEN
T1 - Selection of classifiers for the construction of multiple classifier systems
AU - Kang, Hee Joong
AU - Doermann, David
PY - 2005
Y1 - 2005
N2 - Most studies on combining multiple classifiers have focused on combination methods, but a few studies have investigated on how to select component classifiers from a classifier pool. Multiple classifier systems performance varies with the component classifiers as well as the combination method. In this paper, methods based on information theory are proposed for selecting component classifiers, provided that the number of component classifiers is fixed in advance. These methods are applied to the classifier pool and examine the possible classifier sets. The system is compared to other multiple classifier systems on the recognition of unconstrained handwritten numerals.
AB - Most studies on combining multiple classifiers have focused on combination methods, but a few studies have investigated on how to select component classifiers from a classifier pool. Multiple classifier systems performance varies with the component classifiers as well as the combination method. In this paper, methods based on information theory are proposed for selecting component classifiers, provided that the number of component classifiers is fixed in advance. These methods are applied to the classifier pool and examine the possible classifier sets. The system is compared to other multiple classifier systems on the recognition of unconstrained handwritten numerals.
UR - https://www.scopus.com/pages/publications/33947407309
U2 - 10.1109/ICDAR.2005.213
DO - 10.1109/ICDAR.2005.213
M3 - Conference contribution
AN - SCOPUS:33947407309
SN - 0769524206
SN - 9780769524207
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 1194
EP - 1198
BT - Proceedings of the Eighth International Conference on Document Analysis and Recognition
T2 - 8th International Conference on Document Analysis and Recognition
Y2 - 31 August 2005 through 1 September 2005
ER -