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 |
| 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 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Earth and Planetary Sciences(all)
Fingerprint Dive into the research topics of 'Optimality of Decision Boundary Feature Extraction for Multiclass Problems'. Together they form a unique fingerprint.
Cite this
Go, J., & Lee, C. (2003). Optimality of Decision Boundary Feature Extraction for Multiclass Problems. 2051-2053. Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.