Effect of Moving Decision Boundaries in Pattern Recognition with Supplementary Information—Experimental Examination of Using Quadratic Discriminant Function—

LanguageJapanese
TypeProceedings of Japanese Conferences
AuthorsYoshio Furuya, Masakazu Iwamura, Koichi Kise, Shinichiro Omachi, Seiichi Uchida
TitleEffect of Moving Decision Boundaries in Pattern Recognition with Supplementary Information—Experimental Examination of Using Quadratic Discriminant Function—
JournalIEICE Technical Report
Vol.106
No.PRMU-301
Presentation numberPRMU2006-113
Pagespp.53-38
ReviewedNot reviewed
DateOctober 2006
Research fieldsPattern recognition
KeyFuruya2006_IEICEPRMU (id=959)

Abstract

Pattern recognition with supplementary information which differs from the conventional pattern recognition has been proposed. This framework is capable of decreasing error rates by using not only a pattern itself but also its supplementary information that assists recognition. In the previous report, we confirmed a better recognition rate is achievable by the shift of the decision boundaries from the Bayesian ones in the experiment using a character data set. However, it was not the strict proof of the existence of the achievability because the Bayesian decision boundaries are estimates. In this report, to confirm the achievability in the strict sense, we make use of the artificial samples following the normal distributions. This enables us to obtain the Bayesian decision boundaries precisely.

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