In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Railway interlockings are dominated by highly proprietary systems. We present the development project Alister 2.0 – an interlocking system based on industry-proven standard comp...
Reiner Saykowski, Elferik Schultz, Joachim Bleidie...
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...