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In this paper, a novel approach to topic modeling based on the Higher Order Learning framework, Higher-Order Latent Dirichlet Allocation (HO-LDA), is applied to a critical issue in homeland security, nuclear detection. In addition, this research strives to improve topic models in the ‘real time’ environment of online learning. In total, seventeen different nuclear radioisotopes are classified, and...
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