Relationship Between Decision Boundaries and Recognition Error Rates in Pattern Recognition with Supplementary Information

LanguageJapanese
TypeProceedings of Japanese Conferences
AuthorsYoshio Furuya, Masakazu Iwamura, Koichi Kise, Shinichiro Omachi, Seiichi Uchida
TitleRelationship Between Decision Boundaries and Recognition Error Rates in Pattern Recognition with Supplementary Information
JournalProceedings of MIRU 2006
Presentation numberIS3-37
Pagespp.1231-1236
ReviewedNot reviewed
DateJuly 2006
Research fieldsPattern recognition
KeyFuruya2006_MIRU (id=843)

Abstract

Pattern recognition with supplementary information which differs from the conventional pattern recognition has been proposed. This framework decreases misrecognition rates by using not only a pattern itself but also supplementary information that assists recognition. In the framework, a classifier suitable for the conventional pattern recognition has simply been used, and thus there is room for improvement in the classifier. In this research, in order to improve the recognition performance with supplementary information, we try to change the recognition results of the classifier by move of decision boundaries from the Bayesian ones. Though this reduces recognition rates in the conventional pattern recognition, this increases those in the pattern recognition with supplementary information. We have confirmed this by recognition experiments.

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