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132
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SOCA
2010
IEEE
14 years 11 months ago
Exploiting multicores to optimize business process execution
While modern CPUs offer an increasing number of cores with shared caches, prevailing execution engines for business processes, workflows, or Web service compositions have not been ...
Achille Peternier, Daniele Bonetta, Cesare Pautass...
114
Voted
AICT
2010
IEEE
216views Communications» more  AICT 2010»
14 years 4 months ago
A Simplified Method for Optimising Sequentially Processed Access Control Lists
Among the various options for implementing Internet packet filters in the form of Access Control Lists (ACLs), is the intuitive – but potentially crude – method of processing t...
Vic Grout, John Davies
CORR
2011
Springer
265views Education» more  CORR 2011»
14 years 4 months ago
Signal Processing in Large Systems: a New Paradigm
—For a long time, signal processing applications, and most particularly detection and parameter estimation methods, have relied on the limiting behaviour of test statistics and e...
Romain Couillet, Mérouane Debbah
129
Voted
ICCV
2007
IEEE
16 years 3 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
115
Voted
ECCV
2008
Springer
16 years 3 months ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang