Abstract
In the decision boundary feature extraction algorithm, it was shown that useful information for discriminating among classes is related to decision boundaries and the method was extended to multiclass problems by combining the decision boundary feature matrix of each pair of classes. However, it was reported that this method could result in performance loss since some decision boundaries between two classes might be irrelevant in a multiclass problem. In this paper, we propose a method to eliminate this inefficiency and examine whether such occurrence affects the performance of the decision boundary feature extraction algorithm in multiclass problems.
| Original language | English |
|---|---|
| Pages | 2051-2053 |
| Number of pages | 3 |
| Publication status | Published - 2003 Nov 24 |
| Event | 2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France Duration: 2003 Jul 21 → 2003 Jul 25 |
Other
| Other | 2003 IGARSS: Learning From Earth's Shapes and Colours |
|---|---|
| Country | France |
| City | Toulouse |
| Period | 03/7/21 → 03/7/25 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Earth and Planetary Sciences(all)
Cite this
}
Optimality of Decision Boundary Feature Extraction for Multiclass Problems. / Go, Jinwook; Lee, Chulhee.
2003. 2051-2053 Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.Research output: Contribution to conference › Paper
TY - CONF
T1 - Optimality of Decision Boundary Feature Extraction for Multiclass Problems
AU - Go, Jinwook
AU - Lee, Chulhee
PY - 2003/11/24
Y1 - 2003/11/24
N2 - In the decision boundary feature extraction algorithm, it was shown that useful information for discriminating among classes is related to decision boundaries and the method was extended to multiclass problems by combining the decision boundary feature matrix of each pair of classes. However, it was reported that this method could result in performance loss since some decision boundaries between two classes might be irrelevant in a multiclass problem. In this paper, we propose a method to eliminate this inefficiency and examine whether such occurrence affects the performance of the decision boundary feature extraction algorithm in multiclass problems.
AB - In the decision boundary feature extraction algorithm, it was shown that useful information for discriminating among classes is related to decision boundaries and the method was extended to multiclass problems by combining the decision boundary feature matrix of each pair of classes. However, it was reported that this method could result in performance loss since some decision boundaries between two classes might be irrelevant in a multiclass problem. In this paper, we propose a method to eliminate this inefficiency and examine whether such occurrence affects the performance of the decision boundary feature extraction algorithm in multiclass problems.
UR - http://www.scopus.com/inward/record.url?scp=0242710789&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0242710789&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0242710789
SP - 2051
EP - 2053
ER -