Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
We give a constant factor approximation algorithm for the following generalization of the k-median problem. We are given a set of clients and facilities in a metric space. Each fa...
— The coverage and connectivity problem in sensor networks has received significant attention of the research community in the recent years. In this paper, we study this problem...
Arunabha Sen, Nibedita Das, Ling Zhou, Bao Hong Sh...
We study scenarios where mobile hubs are charged with building a communication bridge between two given points s and t. We introduce a new bi-criteria optimization problem where th...
Onur Tekdas, Yokesh Kumar, Volkan Isler, Ravi Jana...
In wireless multi-hop packet radio networks (MPRNs) that employ geographic transmissions, sleep schedules or node activation techniques may be used to power off some nodes to cons...
Tathagata D. Goswami, John M. Shea, Murali Rao, Jo...