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We have developed an R package, ridge, which implements our method (available from CRAN: http://cran. r- project. org/web/packages/ridge).
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An R-package that implements our methods is available in the CRAN repository under the name Stickbreaker.
We considered that the image-dense data required to implement our method may pose a potential obstacle for clinical implementation.
We implemented our method in C++ and using OpenCV library.
We have implemented our method and present experimental results.
To verify the effectiveness of our method, we implement our method in Matlab and conduct experiments on it.
We have also implemented our method for a number of DLs.
When implementing our method at EU level, here we used 2000 2009 as the RP.
We adopted the systolic array architecture to design the circuit implementing our method.
We designed and developed a framework for offline generation of signatures implementing our method.
We implement our method on a workstation equipped with Intel 2.4GHz Core2 Quad CPU Q6600 and 2GB RAM.
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