Abstract
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.
Original language | English |
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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 |
Publisher | Springer Verlag |
Pages | 213-236 |
Number of pages | 24 |
ISBN (Print) | 354044016X |
DOIs | |
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 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 2388 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002 |
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Country/Territory | Canada |
City | Niagara Falls |
Period | 02/8/10 → 02/8/10 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2002.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)