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Based on multiple kernel learning (MKL) support vector machine and decision tree combined strategy, a multi-class classification method is proposed to classify lower limb motions using electromyography (EMG) signals. According to the framework of multiple kernel learning, the MKL-based multi-classifier is constructed using binary tree decomposition method. Four-channel surface EMG signals are firstly...
In this paper, a modeling method of fuzzy membership based on data domain description is proposed for image coding by fuzzy support vector regression. The original image is divided into some non-overlapped rectangular blocks and their transform domain coefficients are treated as training data sets. On each data set, data points are nonlinearly mapped into a high dimensional feature space where the...
With the development of pen-based mobile device, on-line signature verification is gradually becoming a promising kind of biometrics. A method for the verification of on-line handwritten signatures using both support vector data description (SVDD) and genetic algorithm (GA) is described. A 27-parameter feature set including the shape and dynamic features was extracted from the on-line signatures data...
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