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Affective computing is becoming an important research area in intelligent computing technology. Furthermore, emotion recognition is one of the hot topics in affective computing. It is usually studied based on facial and audio information with technologies such as ANN, fuzzy set, SVM, HMM, etc. Many different facial and acoustic features are considered in emotion recognition by researchers. The question...
Emotion recognition is an important module in affective computing. It is usually studied based on facial and audio information with methodologies such as ANN, fuzzy set, SVM, HMM, etc. In this paper, a novel approach based on selective ensemble is proposed for emotion recognition. Simulation experiments prove that the proposed method has better performance than the method of single classifier, even...
A "matter cognition" based face recognition model has been proposed. By taking continuity rule of samples of a same class as the starting point, face pattern recognition is considered as face pattern cognition instead of its classification. Compared with traditional best classification goaled statistic pattern recognition, it's more similar to the character of human cognition. A person's...
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