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.

基礎知識：

（4）P.J. Green, “Colouring and Breaking Sticks:Random Distributions and Heterogeneous Clustering”, http://www.maths.bris.ac.uk/~mapjg/papers/GreenCDP.pdf

（6）Y. W. Teh and M. I. Jordan, "Hierarchical Bayesian Nonparametric Models with Applications,”

（10）C. M. Bishop, “Pattern Recognition And Machine Learning,” Springer, 2006.

程式碼：

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.