Sentence examples similar to transform iteratively from inspiring English sources

The images were transformed iteratively by mirror imaging, partial rotations (±45°), and by adding a frame around the image to produce 100 transformations of the original.

Many machine learning (ML) algorithms iteratively transform some global state (e.g., model parameters or variable assignment) giving the illusion of serial dependencies between each operation.

Five passes of Illumina read mapping were then used to iteratively transform the reference sequences into those of the sequenced isolate using ICORN (30).

PSO evidently shares similarities with evolutionary algorithms, developed on the basis of the Darwinian theory of evolution: both are inspired from natural phenomena and both maintain a population of candidate solutions and iteratively update (transform) the population using a variety of operators in order to find the optimal solution.

(3) For the general case that the BS is equipped with more than two Tx antennas, we propose an iterative two-dimensional optimization (I2DO) algorithm which iteratively transforms the problem of beamformer design into a sequence of two-antenna subproblems and then PASA can be used to improve the beamformer at each iteration.

These abstractions are instantiated and iteratively transformed at different level to create a concrete user interface.

The first is based on the classical canonical augmentation algorithm [27] and the second consists of iteratively transforming a given molecule such that all its isomers are produced.

In this algorithm, a point cloud is iteratively transformed to fit another reference point cloud, based on overlapping areas with the same morphological features.

In ICP, the reference is fixed in position and orientation and the source is then iteratively transformed to finding the best rotation and translation that minimizes an error metric based on the distance.

That archetype is iteratively transformed into a functioning analogue of the referent in vitro biological system.

Rather than classic shrinkage of the coefficients in transform domain, we propose to iteratively subtract a quantized residual from the reconstructed signal (or original signal in the first step) in the detected region.