A novel visual combining classifier based on 2D graphical representation of the column in multivariate matrix;

Application of combining classifier based on AdaBoost to remote sensing classification;

Aiming at the problem of radar radiating source recognition system, we put forward a scheme applying combining classifier to radiating source recognition.

Based on the analysis of traditional serial and parallel combination method, this paper presents a kind of new classifier combination based on hierarchical method.

In this paper, a new approach to segmenting flame images in kiln based on multiple BP network classifier combination is proposed.

A neural network classifier combination method is introduced in this paper and applied to handwritten numeral recognition.

Finally,a combinatorial classifier is designed to recognize human faces.

An Unconstrained Handwritten Numerals Recognition Way Based on Combined Classifier;

In order to improve the performance of the minority class, a combined classifier algorithm is presented based on data pre- processing.

The characteristics of rough set theory and neural networks and the compementarity of these two theories are studied firstly in this paper,then it puts forward a method of constructing an combined classifier based on rough set theory(C3RST).