Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
In recent years, research in natural language processing has increasingly focused on normalizing SMS messages. Different well-defined approaches have been proposed, but the proble...
Richard Beaufort, Sophie Roekhaut, Louise-Am&eacut...
COMDES-II is a component-based software framework intended for Model Integrated Computing (MIC) of embedded control systems with hard real-time constraints. We present a transforma...
Xu Ke, Paul Pettersson, Krzysztof Sierszecki, Chri...
For many large systems the computational complexity of complete model-based diagnosis is prohibitive. In this paper we investigate the speedup of the diagnosis process by exploiti...