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This article proposes such a question classification approach that integrates multiple semantic features. It is aimed at these two questions in Chinese question classification models: inaccurate semantic information extraction and too slow processing speed caused by too high Eigenvector dimension. With the help of HowNet and the support vector machine and syntactic and semantic information of question...
In this paper, we explore whether the functional magnetic resonance imaging(fMRI) signals of advanced brain areas except the motor area, prefrontal brain regions can be used in the brain-computer interface and how to effectively improve the accuracy of thinking classification by extracting blood oxygen level dependent(BOLD) signal features. We focus on whether the fMRI brain signal of posterior parietal...
This paper introduces FSVM, which introjects fuzzy theory to SVM, achieves a classification system which classifies image layer by layer to affective semantic level by FSVM, and proposes one kind of image affective semantics classification method. The difficulty is to establish a mapping from image features to image affective semantics and how to select fitting membership function to test image semantic...
In recent years, multi-class SVM has been one of the hot spots for many researchers, and multi-class classification based on clustering is one of strategies. Because the information of class-labels is not considered by clustering, too much branches of the binary-tree are formed, especially in the case of samples in different classes having similar features. To solve the problem, linear discriminant...
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