Abstract
Only a few studies have been conducted on how to select multiple classifiers from the pool of available classifiers for showing the good performance. The selection problem of classifiers on how to select or how many to select still remains an important issue. In this paper, provided that the number of selected classifiers is constrained in advance, a number of selection criteria are proposed and applied to the construction of multiple classifiers. All the sets of classifiers are examined by the selection criteria under the constraint of the number of selected classifiers, and then some of those sets are selected as the candidates of multiple classifier systems. The multiple classifier system candidates were evaluated by the experiments recognizing UCI handwritten numerals.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
| Publisher | IEEE Computer Society |
| Pages | 1026-1030 |
| Number of pages | 5 |
| Volume | 2001-January |
| ISBN (Print) | 0769512631, 0769512631, 0769512631 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States Duration: 2001 Sep 10 → 2001 Sep 13 |
Other
| Other | 6th International Conference on Document Analysis and Recognition, ICDAR 2001 |
|---|---|
| Country | United States |
| City | Seattle |
| Period | 01/9/10 → 01/9/13 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
Cite this
Experimental results on the construction of multiple classifiers recognizing handwritten numerals. / Kang, Hee Joong; Lee, Seong Whan.
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR. Vol. 2001-January IEEE Computer Society, 2001. p. 1026-1030 953941.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Experimental results on the construction of multiple classifiers recognizing handwritten numerals
AU - Kang, Hee Joong
AU - Lee, Seong Whan
PY - 2001
Y1 - 2001
N2 - Only a few studies have been conducted on how to select multiple classifiers from the pool of available classifiers for showing the good performance. The selection problem of classifiers on how to select or how many to select still remains an important issue. In this paper, provided that the number of selected classifiers is constrained in advance, a number of selection criteria are proposed and applied to the construction of multiple classifiers. All the sets of classifiers are examined by the selection criteria under the constraint of the number of selected classifiers, and then some of those sets are selected as the candidates of multiple classifier systems. The multiple classifier system candidates were evaluated by the experiments recognizing UCI handwritten numerals.
AB - Only a few studies have been conducted on how to select multiple classifiers from the pool of available classifiers for showing the good performance. The selection problem of classifiers on how to select or how many to select still remains an important issue. In this paper, provided that the number of selected classifiers is constrained in advance, a number of selection criteria are proposed and applied to the construction of multiple classifiers. All the sets of classifiers are examined by the selection criteria under the constraint of the number of selected classifiers, and then some of those sets are selected as the candidates of multiple classifier systems. The multiple classifier system candidates were evaluated by the experiments recognizing UCI handwritten numerals.
UR - http://www.scopus.com/inward/record.url?scp=27144508779&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=27144508779&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2001.953941
DO - 10.1109/ICDAR.2001.953941
M3 - Conference contribution
AN - SCOPUS:27144508779
SN - 0769512631
SN - 0769512631
SN - 0769512631
VL - 2001-January
SP - 1026
EP - 1030
BT - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
PB - IEEE Computer Society
ER -