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详细论述了分层狄利克雷模型,以及此模型在机器学习中的应用-Layered detail Dirichlet model, as well as this model in the application of machine learning
Date : 2025-12-28 Size : 218kb User : chunxiao

脉冲噪声背景下的联合稀疏恢复方法, 在不同背景下给出了测试结果-presents a robust solution for joint sparse recovery (JSR) under impulsive noise. The unknown measurement noise is endowed with the Student-t distribution, then a novel Bayesian probabilistic model is proposed to describe the JSR problem. To effectively recover the joint row sparse signal, variational Bayes (VB) method is introduced for Bayesian theory based JSR algorithms such that it overcomes the intractable integrations inherent. Simulation results verify that the proposed algorithm significantly outperforms the existing algorithms under impulsive noise.
Date : 2025-12-28 Size : 1.12mb User : bigbigtom
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