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Discriminating between bipolar disorder (BD) and major depressive disorder (MDD) is a major clinical challenge due to the absence of known biomarkers; hence a better understanding of their pathophysiology and brain alterations is urgently needed. Given the complexity, feature selection is especially important in neuroimaging applications, however, feature dimension and model understanding present...
Aim at the problems of low classification accuracy rate of the traditional single feature and the multi-features dimension disaster, a ensemble learning algorithm based on multi-features fusion and selection is proposed, and is used for polarimetric SAR image classification. Firstly, various features of SAR image is extracted and fused by normalized; then, different feature selection methods are used...
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