Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
James Hernandez, Zachary T. Harmany, Daniel Thomps...
Pict project. We define two levels of abstraction as calculi with precise semantics: a low-level Nomadic π calculus with migration and location-dependent communication, and a hig...
Peter Sewell, Pawel T. Wojciechowski, Asis Unyapot...
In this paper, we present a novel graph construction method and demonstrate its usage in a broad range of applications starting from a relatively simple single-surface segmentation...
— A practical pricing mechanism is the foundation for the deploying of IP multicast in the inter-domain Internet. The IP multicast service model and its pricing mechanism are dis...