— Often document dissemination is limited to a “need to know” basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user...
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
This paper studies the problem of discovering and comparing geographical topics from GPS-associated documents. GPSassociated documents become popular with the pervasiveness of loc...
In this paper, we propose a system called kMedia that can assist users to form knowledge for community by showing shared topics networks (STN) among them. One of the important aspe...
Topic models could have a huge impact on improving the ways users find and discover content in digital libraries and search interfaces, through their ability to automatically lea...
David Newman, Youn Noh, Edmund M. Talley, Sarvnaz ...