Sentence examples for iterative growing from inspiring English sources

In the real microarray data, each gene's expression values are quantised into 3 equal sized classes and this is very important in the model comparison step of the iterative growing of the networks.

For each data set belonging to the same scintillation event, as clustered in the previous step, an iterative region growing algorithm (here called cluster finding) was used to select the pixels to use in the elaboration.

11 In short, it applies a slice-based search for local intensity maxima, defining these into cluster cores and iterative region growing with meaningful constraints.

The position of the basal slice is also defined by the area spatiotemporal continuity with the corresponding basal area estimated using a spatial or temporal shape constrained iterative region growing after calculating percentage or intensity of the circumferential myocardium.

A previously described iterative region growing method [ 24], which has been validated on prior subjects [ 11], was used for all segmentations carried out in Step 1 This method was repeated throughout all slices of the imaged volume and the results are subjected to further analysis in Step 2. Step 2 (estimate apical and basal slices from Step 1 using spatiotemporal continuity).

Like many news stories, this one was iterative — it grew more complete with each telling — and The Post said that the paper tried at each turn to present more context and facts as they became available.

In this paper, we propose three new iterative receivers with growing complexity and performance that operate at severe clipping: the first and simplest receiver uses a Viterbi algorithm as channel decoder whereas the other two implement a soft-input soft-output (SISO) decoder.

In-house automated algorithms, which involve a series of iterative thresholding, region growing, and masking technique for tissue specification, were applied to both MRI data sets.

By "limiting forms", what is meant is that flowers probably grow according to phyllotaxis and Phi, and are generated by iterative fractal formulas growing both larger and more detailed as edges are approached, but that the overall limiting forms of many flowers resemble these trigonometric images.

An iterative approach with a growing region around the estimated position is also possible, as the most expensive calculation is the matching process.

The PET scans acquired were segmented with ten custom PET-AS methods: adaptive iterative thresholding (AT), region growing, clustering applied to 2 to 8 clusters, and watershed transform-based segmentation.