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Feature extraction plays an essential role in hyperspectral image classification. Nonparametric feature extraction algorithms have more advantages than parametric ones and are well suited for nonnormally distributed data along with being able to extract more features than the classic linear discriminant analysis. In this paper, a novel nonparametric feature extraction method, namely, cosine-based...
In this study, a novel classifier ensemble method named adaptive nonparametric weighted feature extraction (AdaNWFE) is proposed. This new concept is deduced from AdaBoost and NWFE. The main idea of AdaNWFE is adaptive in the sense that subsequent feature spaces are tweaked in favor of those instances misclassified by classifiers in the previous feature space. All training samples are projected to...
Data mining is a new filed in data processing research. Support vector machine (SVM) is one of the new methods using in data mining, which has gained great applicable success. However, there are stiff plenty of limitations in SVM. For example, SVM won't work if its training set contains fuzzy information. In order to solve the problem presented above, this article discusses the constraining programming...
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