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Hyperspectral imagery organically includes the spectral information and space information of the ground objects, so it can bring opportunity to ground objects recognition more precisely. Because the performance of many kinds of classifiers can often be dramatically improved by AdaBoost algorithm, in this paper, we introduce the basic procedure of the Discrete AdaBoost algorithm for two-class classification...
In this paper, a new classification method based on relevance vector machine (RVM) is used in the MPSK signals classification. Compared with the support vector machine (SVM), RVM is sparse model in the Bayesian framework, not only the solution is highly sparse, but also it does not need to adjust model parameter and its kernel functions don't need to satisfy Mercer's condition. The fourth order cumulants...
In this paper, a new classification method based on kernel fisher discriminant analysis is used in the digital signals classification. The second, fourth and sixth order cumulants of the received signals are used as the classification vector firstly, then the kernel thought is used to map the feature vector to the high dimensional feature space and linear fisher discriminant analysis is applied to...
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