LDA和HLDA：
（1）D. M. Blei, et al., "Latent Dirichlet allocation," Journal of Machine Learning Research, vol. 3, pp. 993-1022, 2003.
（2）T. L. Griffiths and M. Steyvers, "Finding scientific topics," Proceedings of the National Academy of Sciences, vol. 101, pp. 5228-5235, 2004.
（3）D. M. Blei, et al., "Hierarchical Topic Models and the Nested Chinese Restaurant Process," NIPS, 2003.
（4）Blei的LDA视频教程：
（5）Teh的关于Dirichlet Processes的视频教程：
（6）Blei的毕业论文：
（7）Jordan的报告：
（8）G. Heinrich, "Parameter Estimation for Text Analysis,"
基础知识：
（1）P. Johnson and M. Beverlin, “Beta Distribution,”
（2）M. Beverlin and P. Johnson, “The Dirichlet Family,”
（3）P. Johnson, “Conjugate Prior and Mixture Distributions”,
（4）P.J. Green, “Colouring and Breaking Sticks:Random Distributions and Heterogeneous Clustering”,
（5）Y. W. Teh, "Dirichlet Process",
（6）Y. W. Teh and M. I. Jordan, "Hierarchical Bayesian Nonparametric Models with Applications,”
（7）T. P. Minka, "Estimating a Dirichlet Distribution",
（8）北邮论坛的LDA导读：[导读]文本处理、图像标注中的一篇重要论文Latent Dirichlet Allocation，
（9）Zhou Li的LDA Note：
（10）C. M. Bishop, “Pattern Recognition And Machine Learning,” Springer, 2006.
代码：
（1）Blei的LDA代码（C）：
（2）BLei的HLDA代码（C）：
（3）Gibbs LDA（C++）：
（4）Delta LDA（Python）：
（5）Griffiths和Steyvers的Topic Modeling工具箱：
（6）LDA（Java）：
（7）Mochihashi的LDA（C，Matlab）：
（8）Chua的LDA（C#）：
（9）Chua的HLDA（C#）：
其他：
（1）S. Geman and D. Geman, "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. PAMI-6, pp. 721-741, 1984.
（2）B. C. Russell, et al., "Using Multiple Segmentations to Discover Objects and their Extent in Image Collections," in Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, 2006, pp. 1605-1614.
（3）J. Sivic, et al., "Discovering objects and their location in images," in Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, 2005, pp. 370-377 Vol. 1.
（4）F. C. T. Chua, "Summarizing Amazon Reviews using Hierarchical Clustering,"
（5）F. C. T. Chua, "Dimensionality Reduction and Clustering of Text Documents,”
（6）D Bacciu, "Probabilistic Generative Models for Machine Vision,"