We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
Abstract. We investigate a spin model in which a ferromagnetic shortrange interaction competes with a long-range antiferromagnetic interaction decaying spatially as 1 rd+ , d being...
Alessandro Vindigni, Oliver Portmann, Niculin Sara...
Global Model Management (GMM) is a model-based approach for managing large sets of interrelated heterogeneous and complex MDE artifacts. Such artifacts are usually represented as ...
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...