Item selection is a key problem in electronic guidebook design. Many systems do not apply so-called “context-awareness” technologies to infer user interest, placing the entire...
The goal of this research is to infer traits about groups of people from their turn-taking behavior in natural conversation. These traits are latent attributes in a social network...
A central problem in historical linguistics is the identification of historically related cognate words. We present a generative phylogenetic model for automatically inducing cogn...
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Abstract. We propose a fully automatic framework to detect and extract arbitrary human motion volumes from real-world videos collected from YouTube. Our system is composed of two s...
Juan Carlos Niebles, Bohyung Han, Andras Ferencz, ...