This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
The organization of HTML into a tag tree structure, which is rendered by browsers as roughly rectangular regions with embedded text and HREF links, greatly helps surfers locate an...
Most recent graphics courses are what we would call topdown courses. Courses that focus on using graphical packages to implement and teach graphics. The course discussed in this p...
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...