基于狄利克雷混合模型的图像分类算法研究

Research on Image Classification Method Based on Dirichlet Mixture Model

本文针对狄利克雷混合模型提出了有效的随机变分推理算法。首先,构建抽样数据的变分目标函数的下界;其次,利用随机优化和自然梯度下降算法推导出变分后验分布的解析解表达式;最后,将其应用于图像分类问题,实验验证了该算法的有效性。

This paper proposes an efficient stochastic variational inference algorithm for the Dirichlet mixture model.Firstly,the lower bound of the variational objective function of the sampled data is constructed;Secondly,the analytical solution expression of the variational posterior distribution is solved by using stochastic optimization and natural gradient descent algorithm;Finally,the proposed algorithm is applied for image categorization,which verifies the effectiveness and feasibility of the algorithm.