CONFIGURING INDIVIDUAL CLASSIFIERS WITH MULTIPLE OPERATING POINTS FOR CASCADED CLASSIFIER TOPOLOGIES UNDER RESOURCE CONSTRAINTS

摘要

A computer-implemented method for configuring a classifier structure includes receiving a classifier structure for identifying a feature of input data, adding a plurality of operating points to a parent binary classifier of the classifier structure, and setting the operating points to minimize a total cost based on resources available to the classifier structure. Each operating point controls how data is classified by the parent binary classifier for distribution to the child binary classifiers.