In order to extend common incremental learning algorithms into a parallel computation setting,an incremental learning algorithm with multiple support vector machine classifiers is proposed.According to the results of multiple classifiers,new samples were selected to be support vectors sets by computing the distance mean of the samples to the hyperplane,until all classifiers were updated and all classification accuracies met the given threshold.The experiment results on test data sets prove the feasibility a...