Note that the weighted decoding rule with is equivalent to the simple maximum rule in (8).
People use different methods such as majority voting, weighted voting, sum rule, mean rule, product rule, maximum rule, minimum rule, correlation and mutual information to build the combiner.
They used a sum rule, a product rule, a minimum rule, a maximum rule, a median rule, and majority voting as the basis for the classifier combination scheme.
From Figure 7, we can see that the maximal average pooling rules (Rules 1 and 2) perform better than the trial maximum (Rule 3), average pooling rules (Rule 4) and weighted pooling rules (Rules 5 and 6).
As can be seen, the weighted decoding rule performs better than the simple maximum rule since the former takes into account the effect of the other decomposed -tuples on localization accuracy by adjusting their weights.
The purpose of the fuzzy process is to find the index value which is corresponding to the maximum rule strength, and then, it will be outputted as the result.
The proposed schemes include 1) simplified EXP rule (sEXP Rule), 2) modified EXP rule (mEXP Rule), 3) EXP rule with maximum throughput (MT) (EXP_MT Rule), and 4) enhanced EXP rule with MT (E2M).
So the fusion rule of these parts will adopt the absolute maximum fusion rule so that the fused image can keep rich texture information.
To characterize all genes assigned into one of the nine categories, we apply three assignment rules: maximum probability, maximum probability over 0.6 and maximum probability over 0.7.
(OHT v.s. WT) Three values in each cell present the number of genes belonging to each category using three different assignment rules: maximum probability, maximum probability over 0.6, and maximum probability over 0.7.
