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EWSN
2008
Springer
14 years 8 months ago
Distributed Inference for Network Localization Using Radio Interferometric Ranging
Abstract. A localization algorithm using radio interferometric measurements is presented. A probabilistic model is constructed that accounts for general noise models and lends itse...
Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-J...
FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
13 years 11 months ago
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
Edward Wijaya, Hajime Harada, Paul Horton
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 4 months ago
Distributed Deterministic Edge Coloring using Bounded Neighborhood Independence
We study the edge-coloring problem in the message-passing model of distributed computing. This is one of the most fundamental problems in this area. Currently, the best-known dete...
Leonid Barenboim, Michael Elkin
ICIP
2008
IEEE
14 years 10 months ago
Localization of tampering in contrast and brightness adjusted images using distributed source coding and expectation maximizatio
Media authentication and tampering localization are important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded v...
Yao-Chung Lin, David P. Varodayan, Torsten Fink, E...
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
14 years 23 days ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro