This paper is about finding explicit and implicit connections between people by mining semantic associations from their email communications. Following from a sociocognitive stance...
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
Though realistic eulerian fluid simulation systems now provide believable movements, straightforward renderable surface representation, and affordable computation costs, they are...
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
We examine the problem of determining a user's value for his/her private information. Web businesses often offer rewards, such as discounts, free downloads and website persona...
Scott Buffett, Nathan Scott, Bruce Spencer, Michae...