Abstract
Most research on face recognition has focused on representation of face appearances rather than the classifiers. For robust classification performance, we need to adopt elaborate classifiers. Output coding is suitable for this purpose because it can allow online learning. In this paper, we propose an N-division output coding method. In the experiments we demonstrate such properties as problem complexity, margin of separation, machine relevance and the recognition performance among different output coding methods.
| Original language | English |
|---|---|
| Pages (from-to) | 3115-3123 |
| Number of pages | 9 |
| Journal | Pattern Recognition Letters |
| Volume | 24 |
| Issue number | 16 |
| DOIs | |
| Publication status | Published - 2003 Dec |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence
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Cite this
Ko, J., & Byun, H. (2003). N-division output coding method applied to face recognition. Pattern Recognition Letters, 24(16), 3115-3123. https://doi.org/10.1016/S0167-8655(03)00179-X