A Novel Approach of Emotion Recognition based on Selective Ensemble
Emotion recognition is an important module inaffective computing.It is usually studied based onfacial and audio information with methodologies suchas ANN,fuzzy set,SVM,HMM,etc.In this paper,anovel approach based on selective ensemble isproposed for emotion recognition. Simulationexperiments prove that the proposed method has betterperformance than the method of single classifier,evenbetter than bagging.In the end,further research worksis discussed.
Affective computing emotion recognition support vector machine ensemble learning selective ensemble.
Zhenguo Zhu Kun He
School of Computer and Information,Chongqing Jiaotong University,Chongqing,400074,.China Institute of Computer Science &Technology,Chongqing University of Posts and Telecommunications,Chong
国际会议
厦门
英文
695-698
2008-11-17(万方平台首次上网日期,不代表论文的发表时间)