Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
This paper presents an approach which supports verification and model-based adaptation of software compod services implemented using Windows Workflow Foundation (WF). First, we pr...
We present an automatic camera placement method for generating image-based models from scenes with known geometry. Our method first approximately determines the set of surfaces vi...
Shachar Fleishman, Daniel Cohen-Or, Dani Lischinsk...
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
This paper proposes a principled methodology for the realization of distribution transparencies. The proposed methodology is placed within the general context of Model-Driven Arch...