Abstract: This brief investigates output tracking issue for a category of random nonlinear systems (RNSs) in strict-feedback form. Distinguished from the extendedly-researched stochastic nonlinear ...

Abstract: The classification in class imbalanced data has drawn significant interest in medical application. Most existing methods are prone to categorize the samples into the majority class, ...

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This work investigates the use of Random Forests for class based pixel-wise segmentation of images. The contribution of this paper is three-fold. First, we show that apparently quite dissimilar ...