In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
We present an approach to process scheduling based on an abstract graph representation which captures both dataflow and the flow of control. Target architectures consist of severa...
Petru Eles, Krzysztof Kuchcinski, Zebo Peng, Alexa...
Abstract. Mathematical Morphology (MM) offers a wide range of operators to address various image processing problems. These processing can be defined in terms of algebraic set or a...
Vinh-Thong Ta, Abderrahim Elmoataz, Olivier Lezora...
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
We study a point process describing the asymptotic behavior of sizes of the largest components of the random graph G(n, p) in the critical window, that is, for p = n−1 + λn−4/...