Japanese / English

Detail of Publication

Text Language Japanese
Authors Yoshio Furuya, Masakazu Iwamura, Koichi Kise, Shinichiro Omachi, and Seiichi Uchida
Title Relationship Between Errors of Supplementary Information andMisrecognition Rates
Journal IEICE Technical Report
Presentation number PRMU2007-152
Pages pp.95-100
Reviewed or not Not reviewed
Month & Year December 2007
Abstract Pattern recognition with supplementary information is a new pattern recognition framework that determines an output class by combining a classifier’s output and supplementary information suggesting the true class. Under the condition that supplementary information does not contain error, we have proposed a theory that reduces misrecognition rates. However, in the real world, we cannot observe any measure without error. Thus, in this paper, we discuss how to reduce misrecognition rates using the erroneous supplementary information, and show the possibility to reduce misrecognition rates experimentally.
Back to list