Thien M. Ha,
An Optimum Class-Selective Rejection Rule for Pattern
Recognition,
In Proceedings of the 13th International Conference on Pattern Recognition (ICPR'96),
Vienna, Austria, pp. 75-80, IEEE, August 1996.
Thien M. Ha,
An Optimum Class-Selective Rejection Rule for Pattern
Recognition,
In Proceedings of the 13th International Conference on Pattern Recognition (ICPR'96),
Vienna, Austria, pp. 75-80, IEEE, August 1996.The concept of rejection is extended to that of class-selective rejection. That is, when an input pattern cannot be reliably assigned to one of the N classes in a N-class problem, it is assigned to a subset of classes that are most likely to issue the pattern, instead of simply being rejected. First, a new optimality criterion is appropriately defined to accommodate the newly introduced decision outcomes. Then, a new decision rule is proposed and its optimality proven. Various upper-bounds of error rate are obtained. Next, an example is provided to illustrate various aspects of the optimum decision rule. Finally, the implications of the new decision rule are discussed.