Much work has been done in the past decade to combine decisions of multiple classifiers in
order to obtain improved recognition results. Many methodologies have been designed and …

In the past decade, many researchers have employed various methodologies to combine
decisions of multiple classifiers in order to order to improve recognition results. In this article …

This paper investigates the effects of confidence transformation in combining multiple
classifiers using various combination rules. The combination methods were tested in …

The performance of neural nets can be improved through the use of ensembles of redundant
nets. In this paper, some of the available methods of ensemble creation are reviewed and …

Human activity recognition has been a branch of interest in the field of computer vision for
decades, due to its numerous applications in different domains, such as medicine …

In the US and many other countries, bank checks are preprinted with the account number
and the check number in special ink and format; as such, these two numeric fields can be …

In spite of rapid evolution of electronic techniques, a number of large-scale applications
continue to rely on the use of paper as the dominant medium. This is especially true for …

This paper investigates a number of confidence transformation methods for measurement-
level combination of classifiers. Each confidence transformation method is the combination …

Nous présentons une approche de reconnaissance d'écriture manuscrite à partir de champs
de Markov cachés et fondée sur une analyse entièrement bidimensionnelle de l'écriture …

最近Melnik 提出了一种新的排序层分类器融合思想, 指出在分类器融合过程中既要调节对不同
分类器的侧重程度, 又要利用不同序号值提供的置信度信息. 但是在Melnik 提出的融合方法中 …