Sentence examples for matching methods use from inspiring English sources

The two-, three-, and four-sided side matching methods use the side information of the various side neighboring pixels to take decision for data hiding.

For the LLR and KL local distances, we obtained T > tm − 1,1 − 0.05, and therefore our proposed template matching methods using the LLR and KL distances improved TIMIT phone recognition accuracy significantly over the HMM baseline at the significance level of 0.05.

We tested the probability matching methods using data supplied by Scottish hospitals where the CHI number was present.

The wavelet matching methods, using an even more selective surface electrode, can correctly estimate the number of MUAPs in the surface EMG signals at higher force levels.

We matched individuals using propensity score matching methods, using more detailed responses to the domains captured in the poverty assessment tool as well as additional variables not captured in the poverty assessment tool.

The optical flow is computed by a block matching method using sum of absolute differences (SAD).

The third method is a point matching method using normals to preferentially work with planar areas of a point cloud.

Phase-based correspondence matching [26] is used to calculate matching scores between ROI images, which employs (i) a coarse-to-fine strategy using image pyramids for robust correspondence search and (ii) a local block matching method using BLPOC.

The average flexion angle of patients who achieved this style of sitting was 144.1°, and the average internal rotation was estimated as 14.3° by a pattern matching method using a computer-assisted design system.

Note that the maximum value of the correlation peak of the BLPOC function is always normalized to 1 and does not depend on L 1 and L 2. Phase-based correspondence matching consists of a coarse-to-fine strategy using image pyramids and a local block matching method using BLPOC.

Multiple imputations (10 times with a predictive mean matching method using the aregImpute function in R R Foundation for Statistical Computing, Vienna, Austria) were performed for missing data of covariates, and their descriptive statistics were computed based on the average of 10 imputations.