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AIPS
2006
13 years 9 months ago
Tractable Optimal Competitive Scheduling
In this paper we describe the problem of Optimal Competitive Scheduling, which consists of activities that compete for a shared resource. The objective is to choose a subset of ac...
Jeremy Frank, James Crawford, Lina Khatib, Ronen I...
IANDC
2008
92views more  IANDC 2008»
13 years 7 months ago
Tree exploration with advice
We study the amount of knowledge about the network that is required in order to efficiently solve a task concerning this network. The impact of available information on the effici...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
ICC
2009
IEEE
13 years 5 months ago
Joint Reduction of Peak to Average Power Ratio and Symbol Loss Rate in Multicarrier Systems
Peak to average power ratio (PAPR) and symbol loss rate (SLR) are two challenges of multicarrier based communications that have recently drawn much attention. High SLR renders the ...
Amin Alamdar Yazdi, Sameh Sorour, Shahrokh Valaee,...
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 7 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
COCOON
2005
Springer
14 years 1 months ago
The Reverse Greedy Algorithm for the Metric K-Median Problem
The Reverse Greedy algorithm (RGREEDY) for the k-median problem works as follows. It starts by placing facilities on all nodes. At each step, it removes a facility to minimize the...
Marek Chrobak, Claire Kenyon, Neal E. Young