We present a discriminative latent topic model for scene recognition. The capacity of our model is originated from the modeling of two types of visual contexts, i.e., the category...
One of the key tasks for analyzing conversational data is segmenting it into coherent topic segments. However, most models of topic segmentation ignore the social aspect of conver...
Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resn...
Code model checking is a rapidly advancing research topic. However, apart from very constrained scenarios (e.g., verification of device drivers by Slam), the code model checking t...
This paper explores the relationship between discourse structure and coverbal gesture. Using the idea of gestural cohesion, we show that coherent topic segments are characterized ...
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...