Sciweavers

Share
ICPR
2000
IEEE

A Modification of Eigenvalues to Compensate Estimation Errors of Eigenvectors

9 years 7 months ago
A Modification of Eigenvalues to Compensate Estimation Errors of Eigenvectors
In statistical pattern recognition, parameters of distributions are usually estimated from training samples. It is well known that shortage of training samples causes estimation errors which reduce recognition accuracy. By studying estimation errors of eigenvalues, various methods of avoiding recognition accuracy reduction have been proposed. However, estimation errors of eigenvectors have not been considered enough. In this paper, we investigate estimation errors of eigenvectors to show these errors are another factor of recognition performance reduction. We propose a new method for modifying eigenvalues in order to reduce bad influence caused by estimation errors of eigenvectors. Effectiveness of the method is shown by experimental results.
Masakazu Iwamura, Shinichiro Omachi, Hirotomo Aso
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2000
Where ICPR
Authors Masakazu Iwamura, Shinichiro Omachi, Hirotomo Aso
Comments (0)
books