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The binary tree and Bayesian inference fusion method is proposed to construct the selective ensemble model. Experimental results on benchmark data sets show the effectiveness of the proposed method.
Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...
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