Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
We propose a novel approach and tool for collaborative software engineering and development. In model-based software engineering, the underlying data structure is a complex, direc...
Jonathan Michaux, Xavier Blanc, Marc Shapiro, Pier...
This paper describes a new method for generating surfaces of branching tubular structures with given centerlines and radii. As the centerlines are not straight lines, the cross-se...
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
1 A number of e-Processes (i.e. software processes for developing e-Commerce information systems) exist in industry. We presuppose that for a subclass of these their targeted quali...
Roland Kaschek, Frina Albertyn, Vladimir A. Shekho...