The realistic depiction of smoke, steam, mist and water reacting to a turbulent eld such as wind is an attractive and challenging problem. Its solution requires interlocking model...
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
Stjepan Rajko, Gang Qian, Todd Ingalls, Jodi James
As wireless networks have become more complex with packet services and sophisticated modulation techniques, validation using multidimensional Markov Chain models has become increa...
This paper focuses on audio-visual (using facial expression, shoulder and audio cues) classification of spontaneous affect, utilising generative models for classification (i) in t...
This work presents an auto-completion mechanism for supporting the creation of executable business process models. Currently, process modeling tools provide only little support to ...
Matthias Born, Christian Brelage, Ivan Markovic, D...