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.
|Title of host publication||Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings|
|Editors||Seong-Whan Lee, Alessandro Verri|
|Number of pages||24|
|Publication status||Published - 2002|
|Event||1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002 - Niagara Falls, Canada|
Duration: 2002 Aug 10 → 2002 Aug 10
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002|
|Period||02/8/10 → 02/8/10|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)