Sentence examples for estimating transformation from inspiring English sources

Although estimating transformation parameters and determining correspondences are done at the same time using only one initial correct match [26], the approach is inadequate for registration of some multimodal retinal image pairs with scale changes, and when there are homogeneous non-vascular regions in high-resolution color images in contrast to texture regions of high-resolution FA images.

The Box-Cox power transformation requires all predictor variables to be included in the model for estimating transformation parameter in order to put a skewed response onto the correct scale for the classic ANOVA model [ 27].

If the selected corresponding pairs were in fact true, hence the genuine estimated transformation model, a transformed TIR quadrilateral (hat {Q}) would overlap with a quadrilateral Q in the visible image to a large extent whereas a selection of erroneous feature correspondences would lead to less or no overlapping.

Thus, given an estimated transformation T from P to Q, the estimation error is defined as the median of the point distances after applying T and T g onto P, i.e., media n p ∈ P | | T p - T g p | |.

10 ng of the cloned DNA was used to transform E. coli XL10-Gold cells (Stratagene) with an estimated transformation efficiency 5 × 109 colonies per ug pUC19 DNA.

The above feature transformation techniques estimate transformation matrices in the training stage.

However, the estimated transformation parameters are affected or even severely distorted when the observed coordinates are contaminated by gross errors.

Successful recombinase-mediated cassette exchange (RMCE) was observed in the two transgenic target strains with an estimated transformation efficiency of 3.84 7.01%.

Our employed QLCP measure for verifying the estimated transformation depends on two main parameters, i.e., λ in Equation 17 and δ-distance.

The final score for the current estimated transformation model can then be expressed as S = sum_{i}max(S_{ij}) (5).

Moreover, to make the estimated transformation more robust, we select the N-points base ℬ p from P as decentralized as possible in 3-D space.