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The experimental implementation was performed using a seven qubit nuclear magnetic resonance (NMR) quantum information processor, where four of the nuclear spins were employed for the simulation.
The implementation was performed using MATLAB.
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In this work, a metrological geometric verification of the KinectFusion implementation is performed using a standard artefact which consists of five delrin spheres and seven aluminum cubes.
The following numerical implementation is performed using Mathematica.
The LDA implementation is performed using MALLET API [46], and the MapReduce implementation is performed using Hadoop API [5].
The implementation is performed using the spectral elements method with a global algorithm for the resolution.
The implementation is performed using Cloudsim simulator with 2 VM's of 4 physical machines (Intel(R Core(TM) i3 CPU M330 @2.13.00, 3.00 GB, 64-bit OS).
To test for association with time to implementation, survival analysis was performed using proportional hazards models.
The implementation of profile regression was performed using the R package PreMiuM which is freely available from the R website (http://cran.r-project.org/web/packages/PReMiuM/).org/web/packages/PReMiuM/
The implementation of the ConvNets classifier was performed using Torch 7, a scientific computing framework for machine learning54.
All other analysis, such as the implementation of the MCMC algorithms, was performed using programs we wrote in C. We refer to the model described above as the full model.
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