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» Approximations in Distributed Optimization
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SIAMIS
2011
15 years 1 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
IPPS
2007
IEEE
16 years 22 days ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
PODC
2000
ACM
15 years 10 months ago
Efficient atomic broadcast using deterministic merge
We present an approach for merging message streams from producers distributed over a network, using a deterministic algorithm that is independent of any nondeterminism of the syst...
Marcos Kawazoe Aguilera, Robert E. Strom
ICPP
1995
IEEE
15 years 10 months ago
Unicasting in Faulty Hypercubes Using Safety Levels
—We propose a unicasting algorithm for faulty hypercubes (including disconnected hypercubes) using the safety level concept. A faulty hypercube is a hypercube with faulty nodes a...
Jie Wu
KIVS
2005
Springer
15 years 12 months ago
On the Distribution of Nodes in Distributed Hash Tables
: We develop a model for the distribution of nodes in ring-based DHTs like Chord that position nodes randomly or based on hash-functions. As benefit of our model we get the distri...
Heiko Niedermayer, Simon Rieche, Klaus Wehrle, Geo...