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Gabor features have been proved to be effective for the recently-proposed nearest regularized subspace (NRS) classifier. In this paper, we further investigate a residual fusion based strategy with multiple features and NRS. Multiple features include local binary patterns (LBP), Gabor features and the original spectral signatures. In the proposed classification framework, each type of feature is first...
When dealing with large data sets, the traditional support vector machine (SVM) needs long training time which is aroused by the complexity of computation for kernel function. Moreover, if there are noises in a given training set, the classification accuracy rate of the traditional SVM is usually low. To overcome the shortcomings above, the algorithm of SVM based on half-suppressed fuzzy c-means clustering...
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