Abstract. Although current programming models provide adequate performance, many prove inadequate to support the effective development of efficient Grid applications. Many of the ...
Since the early 1970's a number of models have been proposed for estimating software reliability. However, the realism of many of the underlying assumptions and the applicabi...
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
The paper describes the MOLA Tool, which supports the model transformation language MOLA. MOLA Tool consists of two parts: MOLA definition environment and MOLA execution environme...
This paper focuses on the integration of multimodal features for sport video structure analysis. The method relies on a statistical model which takes into account both the shot co...