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TMI
2008
138views more  TMI 2008»
15 years 6 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
IPSN
2005
Springer
16 years 6 days ago
Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...
Jen-Yeu Chen, Gopal Pandurangan, Dongyan Xu
217
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PDP
2010
IEEE
15 years 11 months ago
Distributed Scheduler of Workflows with Deadlines in a P2P Desktop Grid
Scheduling large amounts of tasks in distributed computing platforms composed of millions of nodes is a challenging goal, even more in a fully decentralized way and with low overhe...
Javier Celaya, Unai Arronategui
SASO
2007
IEEE
16 years 1 months ago
Leveraging Resource Prediction for Anticipatory Dynamic Configuration
Self-adapting systems based on multiple concurrent applications must decide how to allocate scarce resources to applications and how to set the quality parameters of each applicat...
Vahe Poladian, David Garlan, Mary Shaw, M. Satyana...
CLUSTER
2003
IEEE
16 years 13 hour ago
Distributed Recursive Sets: Programmability and Effectiveness for Data Intensive Applications
This paper presents a concurrent object model based on distributed recursive sets for data intensive applications that use complex, recursive data layouts. The set abstraction is ...
Roxana Diaconescu, Reidar Conradi