Applications of Support Vector Machines for Pattern Recognition: A Survey
edited by: Seong-Whan Lee, Alessandro Verri
In this paper, we present a comprehensive survey on applications of Support Vector Machines (SVMs) for pattern recognition. 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 numerous applications.