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» Cross-Serial Dependencies Are Not Hard to Process
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RTSS
2003
IEEE
15 years 2 months ago
Adaptive Coherency Maintenance Techniques for Time-Varying Data
Often, data used in on-line decision making (for example, in determining how to react to changes in process behavior, traffic flow control, etc.) is dynamic in nature and hence ...
Ratul kr. Majumdar, Kannan M. Moudgalya, Krithi Ra...
SENSYS
2003
ACM
15 years 2 months ago
GEM: graph eMbedding for routing and data-centric storage in sensor networks without geographic information
The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and aggregate data in the network rather than wasting e...
James Newsome, Dawn Xiaodong Song
SIGMETRICS
2012
ACM
253views Hardware» more  SIGMETRICS 2012»
12 years 12 months ago
Characterizing continuous time random walks on time varying graphs
In this paper we study the behavior of a continuous time random walk (CTRW) on a stationary and ergodic time varying dynamic graph. We establish conditions under which the CTRW is...
Daniel R. Figueiredo, Philippe Nain, Bruno F. Ribe...
HPDC
2012
IEEE
12 years 12 months ago
Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores
Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the...
Chang Bae, Lei Xia, Peter A. Dinda, John R. Lange
GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 1 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee