Facial Expression Classification Using Combined Neural Networks
نویسندگان
چکیده
Studies in the area of Pattern Recognition have indicated that a classification model performs differently from class to class. This observation leads to combining the individual results of different classifiers to derive a consensus decision. This work investigates the combination of classifiers in a facial expression recognition system. A classifier ensemble is then built by integrating the results of several Back-propagation neural networks; Fuzzy Integrals are used as the combining strategy. Experiments carried out to evaluate the system have shown that the combination may considerably improve the classification performance of the individual classifiers.
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