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We developed an algorithm for performing simulation of Japanese yukata.
We introduce a variant of the conventional binary collision algorithm for performing Coulomb collisions.
We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees.
This work proposes a novel algorithm for performing robust feature-based stereo-matching, without the ordering constraint.
To provide such a tool to the neurobiology, stem cell, cell engineering, and neuroregenerative communities, we developed an algorithm for performing high-throughput neurite analysis in immunofluorescent images.
To overcome this limitation, an accurate and efficient algorithm for performing the structural topology optimization of deformable bodies containing dissimilar interfaces is introduced.
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The application of sparse approximation techniques faces two main problems: (i) algorithms for performing sparse decomposition and their performance analysis and (ii) dictionary composition methods.
We have developed a simple algorithm (see Algorithm 1) for performing approximate hierarchical clustering.
SBSI is a modular software suite composed of three major components: SBSINumerics, a high-performance library containing parallelized algorithms for performing parameter fitting; SBSIDispatcher, a middleware application to track experiments and submit jobs to back-end servers; and SBSIVisual, an extensible client application used to configure optimization experiments and view results.
We developed eight algorithms for performing such label/widget matches.
The software side consists of algorithms for performing data partitioning and Naive Bayes classifier.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com