Abstract
In this paper, we present a survey on pattern recognition applications of Support Vector Machines (SVMs). Since SVMs show good generalization performance on many real-life data and the approach is properly motivated theoretically, it has been applied to wide range of applications. This paper describes a brief introduction of SVMs and summarizes its various pattern recognition applications.
| Original language | English |
|---|---|
| Pages (from-to) | 459-486 |
| Number of pages | 28 |
| Journal | International Journal of Pattern Recognition and Artificial Intelligence |
| Volume | 17 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2003 May |
Bibliographical note
Funding Information:This research was supported by the Brain Neuroinfomatics Research Program and the Creative Research Initiative Program of the Ministry of Science and Technology, Korea.
Keywords
- Face detection
- Face recognition
- Handwritten character recognition
- Object recognition
- Pattern recognition
- Speech recognition
- Support Vector Machines
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Artificial Intelligence
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