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A novel multimodal approach for frequency domain blind source separation of moving sources is presented in this paper. A very simple and robust algorithm is proposed which incorporates geometrical information and exploits the permutation free unmixing matrix of the previous block together with the whitening matrix of the mixtures of the current block, to(More)
Begin with discussing the deficiency of the traditional ceramic pattern designing procedure, the concepts of the designer-customer cooperation in ceramic pattern designing is advanced. Meanwhile, this paper mainly discusses the theory and the key technology of the internet-based Ceramic Pattern’s cooperative module, then it is implemented and used(More)
We design Distributed Denial of Service (DDoS) detection procedures based on a non Gaussian model-ing of the marginal distributions of aggregated Inter-net traffic. The theoretical and practical relevances of this modeling is illustrated and discussed. From this modeling, various statistical distances (Mean Quadratic Distance of Kullback Divergence) between(More)
Learning-based anomaly detection method is often subject to inaccuracies due to noise, small sample size, bad choice of parameter for the estimator, etc. We propose a novel method using higher-order feature, based on the sequence nonparametric test to assess the reliability of the estimation. The method allows an expert to discover informative features for(More)
In this paper, we apply a new linear correlation attribute reduction algorithm to feature selection. The algorithm is valuable when the features are marginally unrelated but jointly related to the response variable. A new technique is introduced to remove redundant attributes and it is effective to reduce the false selection rate in the feature selection(More)
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