Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
We consider a system of particles with arms that are activated randomly to grab other particles as a toy model for polymerization. We assume that the following two rules are fulï¬...
Jean Bertoin, Vladas Sidoravicius, Maria Eulalia V...
In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects ha...
We present a new, simple algorithmic idea for exploiting the potential for bidirectional communication present in many modern interconnects for the collective MPI operations broadc...
Peter Sanders, Jochen Speck, Jesper Larsson Tr&aum...