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The final 3D maps were refined using the standard iterative projection matching, class-averaging and Fourier reconstruction procedure of EMAN2.
To improve resolution, the preliminary maps were refined using projection matching.
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After the sequence analysis and the ultradense map were refined it is evident that some existing RNAi constructs could also be tested for other specificities that cosegregate with RGCs of the targeted family.
In this process, the map is refined by considering the consistency of whole map information.
(5) The corrected transmission map is refined via the guided filter to get more smooth structure.
By recognizing 3D objects, the estimated map is refined, and 3D points are replaced by 3D objects to reduce the amount of data.
Finally, an iterative two-phase algorithm is proposed to estimate the dense disparity map where in phase one, sparse representation of disparities are inferred from the trained sparse autoencoder, and IGMRF parameters are computed, keeping the disparity map fixed and in phase two, the disparity map is refined by minimizing the energy function using graph cuts, with other parameters fixed.
In phase one, sparseness is inferred using the learned weights of the sparse autoencoder, and IGMRF parameters are computed based on the current estimate of disparity map, while in the second phase, the disparity map is refined by minimizing the energy function with other parameters fixed.
The mapping was refined using SRMA (v.0.2.5) [ 35].
Additional interview transcripts were analysed and the thematic map was refined further (phase 3).
For loci whose positions are only approximately known, their location in the integrated map was refined on the basis of comparative information from opossum (Monodelphis domestica) and human.
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