1996
@inproceedings{Ha1996,
vgclass = {refpap},
author = {Thien M. Ha},
title = {An Optimum Class-Selective Rejection Rule for Pattern
Recognition},
booktitle = {Proceedings of the 13th International Conference on Pattern Recognition (ICPR'96)},
address = {Vienna, Austria},
pages = {75--80},
publisher = {IEEE},
month = {August},
year = {1996},
abstract = {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.},
}