In this paper, a new method in classifier fusion is introduced for decision making based on internal structure

of base classifiers. Amongst methods used in combining classifiers, there are some methods which

work on decision template...

of the base classifiers. As diversity is

measured and monitored throughout the entire procedure, it is measured using a confusion

matrix. Superiority of the proposed method is discussed using several known classifier fusion...

In this paper, a new method is introduced to construct Multiple Classifier Systems (MCSs). It is based on controlling diversity among base classifiers according to a new method in measuring diversity in kernel space. The ...

In this paper, we propose a special fusion

method for combining ensembles of base classifiers

utilizing new neural networks in order to improve

overall efficiency of classification. While ensembles ...

Abstract: This paper presents a human gait recognition system based on a leg gesture separation.

Main innovation in this paper includes gait recognition using leg gesture classification which gives a

high ...