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Based on the analysis of the One-Class SVM theory, we apply progressive transductive learning method to the One-Class SVM. During the process the training samples be progressively given by label and can be dynamically adjusted. This paper propose progressive transductive OCSVM learning methods. The PTOCSVM classifier can be used in the training process and effectively step by step to make identification...
Multi-scale kernel function learning is a special case of multi-kernel learning, namely combines several multi-scale kernels. This approach is more flexible. It provides more comprehensive choice of scale than the mixed kernel learning. In this paper, the model's parameters of multi-scale Gaussian kernel were used as elementary particles. The parameters of multi-scale Gaussian kernel were global optimized...
Nowadays, there are many data mining tools for various data processing purposes, i.e. classifying and clustering. Among them, Weka and GeneXproTools are widely discussed. In this paper, we evaluate these tools' classification function in authentic emotion recognition. Meanwhile, we develop a hybrid classification algorithm and compare it with these data mining tools. Finally, we list the recognition...
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