We consider the problem of partitioning, in a highly accurate and highly efficient way, a set of n documents lying in a metric space into k non-overlapping clusters. We augment th...
Filippo Geraci, Marco Pellegrini, Paolo Pisati, Fa...
Clinical medical records contain a wealth of information, largely in free-text form. Means to extract structured information from free-text records is an important research endeav...
Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann Prestr...
As users interact with an increasing array of personal computing devices, maintaining consistency of data across those devices becomes significantly more difficult. Typical soluti...
David L. Roberts, Sooraj Bhat, Charles Lee Isbell ...
We propose the notions of "density" and "connectivity" of infinite process graphs and investigate them in the context of the wellknown process algebras BPA and ...
Abstract. We have developed a new on-line error modeling and optimizationbased localization approach for sensor networks in the presence of distance measurement noise. The approach...