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The proposed matching method consists of three steps.
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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.
Besides non-parametric matching, propensity score matching (PSM) is a commonly used matching method.
Tracking by matching method (named TbM).
The proposed method consists of three main modules, namely, modelling, matching and subtraction modules.
Both instrumentation and propensity score matching methods are used.
The empirical example provided promising evidence that interval matching reduced more selection bias than did commonly used matching methods including the rival method, caliper matching.
The learning objective of the proposed method consists of a combination of three parts: the kernel matching criterion, prediction losses, and graph Laplacian regularization.
Our detection method consists of two stages: (i) the design of matched filters (templates); and (ii) the fully automated event detection with established filters (see Figure S1 for an explanatory flow chart).
Our method consists of first extracting geometric features from the induction data and then matching them to precomputed data for known objects from a given dictionary.
The method consists in constructing a distance matrix based on the matching of all sample data pairs between the two time series.
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