In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Besides ordinary applications, also infrastructure software such as operating systems or database management systems is being developed as a software product line. With proper too...
A detailed, comparative study of the numerical stability of the recursive algorithms, widely used to calculate the Zernike moments of an image, is presented in this paper. While m...
George A. Papakostas, Yiannis S. Boutalis, Constan...
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
We present an approach for extracting extremal feature lines of scalar indicators on surface meshes, based on discrete Morse Theory. By computing initial Morse-Smale complexes of ...
Jan Sahner, Britta Weber, Steffen Prohaska, Hans L...