The phrase "alignment transformation" is correct and usable in written English.
It can be used in contexts related to mathematics, computer science, or data analysis, where it refers to a process that adjusts or aligns data or objects in a specific way.
Example: "The alignment transformation applied to the dataset improved the accuracy of our model's predictions."
Alternatives: "alignment adjustment" or "alignment modification".
Using this alignment transformation all keypoints in the first image are transformed into the second image.
For this, we design a new version of the suffix array of alignment by using an alignment transformation and a new definition of the alignment-suffix.
Both software packages assessed used a semi-automatic linear (or rigid) registration algorithm to fuse PET and CT data together; therefore, computed alignment transformation between image modalities included, and were limited to, rotation, translation and scaling.
The next step is to use the proposed automatic registration method to compute the alignment transformation T auto.
Further prolonging the chloroform solvent annealing time to 30 min is enough to fulfill the re-alignment transformation process, after rinsing with methanol, the AFM revealed that all the cylindrical microdomains were oriented parallel to the substrate(Fig.
With this kind of policy, programs, people alignment, sustainable transformation can be achieved.
Transformations and alignment of transformed templates have to be optimized in order to maintain the recognition performance of biometric systems.
Despite repeated attempts using distinct input alignments, data-transformation techniques (i.e. identifying and removing rapidly evolving sites [ 6]) and amino acid substitution models, we were unable to obtain consistent tree topologies with high support for deep interior branch points.
With over 20+ years of extensive experience in strategic transformation, alignment, and implementation of +$3.5B in innovative security technologies across a wide variety of organizations under the most challenging conditions.
Subsequent to motion correction, alignment and TAL transformation, grouped functional maps were superimposed on a structural T1-weighted data set of one WS individual and the respective 3D-reconstructions of the AC using BrainVoyager software (Brain Innovation QX version 1.8; Fig. 5).
Sequences were aligned with MAFFT (multiple alignment using fast Fourier transformation, v6.832b) using the "G-INS-I" parameters [ 28].
