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Experimental results show that the optimum values of scale and direction parameters are respectively 2 and 3, and the matching accuracy of the proposed matching cost is twice higher than that of traditional NCC cost.

For the first step, a matching cost is defined to quantify the credibility of the corresponding region in a pair of bilateral mammograms.

In the initial matching step, both the reference image and the target image are segmented followed by WTA-based matching, where a new matching cost is developed by jointly exploiting segmentation information, disparity continuity constraints as well as the ASW techniques.

The matching cost is then combined with a cross-based cost aggregation method.

The matching cost is computed using Center-Symmetric Census Tradditionallyadditionally median filter is used to remove outliers.

Therefore region sizes can vary between different disparities so the average matching cost is used instead of a simple sum.

(Typically, matching costs were also imposed on the states).

First, feature-vector-based matching costs are much more computationally intensive than pixel-intensity-based ones.

Most of the pixel-based matching costs are built on the brightness constancy assumption and include absolute differences (AD), squared differences (SD), sampling insensitive absolute differences of Birchfield and Tomasi (BT), or truncated costs [10].

Our experiment was premised on the assumption that one reason firms do not hire more workers is that the search and matching costs are high for them, especially for small and medium firms.

As such, we might expect search and matching costs to be higher for such firms.