In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
This paper presents a vision-based approach to SLAM in indoor / outdoor environments with minimalistic sensing and computational requirements. The approach is based on a graph repr...
Henrik Andreasson, Tom Duckett, Achim J. Lilientha...
Background: The reconstruction of protein complexes from the physical interactome of organisms serves as a building block towards understanding the higher level organization of th...
We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...