TY - CHAP
T1 - Multi-class support vector machines with case-based combination for face recognition
AU - Ko, Jaepil
AU - Byun, Hyeran
PY - 2003
Y1 - 2003
N2 - The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set of binary classifiers f1,....fM, each trained to separate one class from the rest. The multi-class classification method has a main shortcoming that the binary classifiers used are obtained by training on different binary classification problems, and thus it is unclear whether their real-valued outputs are on comparable scales. In this paper, we try to use additional information, relative outputs of the machines, for final decision. We propose case-based combination with reject option to use the information. The experiments on the ORL face database shows that the proposed method achieves a slight better performance than the previous multi-class support vector machines.
AB - The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set of binary classifiers f1,....fM, each trained to separate one class from the rest. The multi-class classification method has a main shortcoming that the binary classifiers used are obtained by training on different binary classification problems, and thus it is unclear whether their real-valued outputs are on comparable scales. In this paper, we try to use additional information, relative outputs of the machines, for final decision. We propose case-based combination with reject option to use the information. The experiments on the ORL face database shows that the proposed method achieves a slight better performance than the previous multi-class support vector machines.
UR - http://www.scopus.com/inward/record.url?scp=33745925925&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745925925&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-45179-2_76
DO - 10.1007/978-3-540-45179-2_76
M3 - Chapter
AN - SCOPUS:33745925925
SN - 3540407308
SN - 9783540407300
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 623
EP - 629
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Petkov, Nicolai
A2 - Westenberg, Michel A.
PB - Springer Verlag
ER -