Abstract. We provide improved approximation algorithms for the minmax generalization problems considered by Du, Eppstein, Goodrich, and Lueker [1]. In min-max generalization proble...
For a number of years, dataflow concepts have provided designers of digital signal processing systems with environments capable of expressing high-level software architectures as ...
William Plishker, Nimish Sane, Shuvra S. Bhattacha...
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
While a natural fit for modeling and understanding mobile networks, time-varying graphs remain poorly understood. Indeed, many of the usual concepts of static graphs have no obvi...
John Whitbeck, Marcelo Dias de Amorim, Vania Conan...
The maximum independent set problem is NP-complete for graphs in general, but becomes solvable in polynomial time when restricted to graphs in many special classes. The problem is ...