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Audio data is one of typical multimedia data and it contains plenty of information. Audio retrieval is becoming important content in multimedia information retrieval. In multimedia retrieval researches, it becomes more and more important research part how to construct better classifiers for audio classification and retrieval. Support Vector Machine...
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Citations
A new method based on kernel which can measure class separability in feature space is proposed in this paper for existing error accumulation when the hierarchical SVMs is used to diagnose multiclass network fault. This method has defined metrics of sample distribution in feature space, which are used as the rule of constructing hierarchical SVMs. Experiment results show that this method can restrain error accumulation and has higher multiclass classification accuracy, and offer an effective way for network fault diagnosis.