papers: extend topic model to deal with temporal dependency

Using topic models to analyze the tread and change of topics along the time line in a document corpus is definitely a cool idea. It has plenty of potentials in video analysis, human action understanding, etc. The following are a few papers related to this idea:

• Dynamic Topic Models, ICML 2006
• Continuous Time Dynamic Topic Models, UAI 2008
• Hidden Topic Markov Models, AISTATS 2007

non-parametric models:

• an HDP-HMM model is described in Yee Whye Teh's HDP paper
• An HDP-HMM for Systems with State Persistence, ICML 2008
• Infinite Hierarchical Hidden Markov Models. K. Heller, Y.W. Teh and D. Gorur. AISTATS 2009

Here is a good discussion on several infinite HMM:
a blog by Jurgen Van Gael, discussing several infinite HMM