1. A computer-implemented method for configuring a classifier structure, the method comprising: receiving, by a processor, a classifier structure for identifying one or more features of input data, the structure having a parent classifier trained as a binary classifier and a plurality of child binary classifiers, wherein the parent classifier is configured to identify one feature of interest by determining a numeric score representing a measure of a likelihood of the input data including the feature of interest; adding a plurality of thresholds to the parent classifier to generate a modified classifier, wherein each threshold is associated with a different child binary classifier and the plurality of thresholds control how data is distributed by the parent modified classifier to the child binary classifiers, wherein each threshold has a respective cost; and setting the plurality of thresholds to values different from one another to minimize the total cost based on the resources available to the child binary classifiers, wherein the modified classifier is configured to output data to each child binary classifier by comparing the determined score against the threshold associated with the corresponding child classifier, wherein the modified classifier includes at least two output branches for either outputting data excluding the feature or data including the feature to two child binary classifiers in parallel.