K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
Round-Robin scheduling is the most popular time triggered scheduling policy, and has been widely used in communication networks for the last decades. It is an efficient schedulin...
Razvan Racu, Li Li, Rafik Henia, Arne Hamann, Rolf...
We give the first complete theoretical convergence analysis for the iterative extensions of the Sturm/Triggs algorithm. We show that the simplest extension, SIESTA, converges to no...
The McEliece public-key cryptosystem is based on the fact that decoding unknown linear binary codes is an NP-complete problem. The interest on implementing post-quantum cryptograph...