Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
Maan Qraitem, Kate Saenko, et al.
CVPR 2023
For character recognition machines in which the design of the logic is time consuming and expensive, a method for evaluating the character recognition scanner prior to designing the recognition logic is desirable. A method for evaluating a character recognition scanner by evaluating the patterns it produces is described. The method, for a given set of parameters, assigns to each pattern a figure of merit that measures the difficulty of recognizing the pattern. A number of experiments show that the evaluation method produced results comparable to results produced by a recognition logic designed by engineers. On a sample of 81,200 patterns, the evaluation method showed in this experiment that 0.20% of the patterns would be difficult to recognize, while for the same patterns, logic designed by engineers failed to recognize or misrecognized 0.24% of the patterns. © 1983.
Maan Qraitem, Kate Saenko, et al.
CVPR 2023
Merve Unuvar, Yurdaer Doganata, et al.
CLOUD 2014
Imran Nasim, Melanie Weber
SCML 2024
Weiming Hu, Nianhua Xie, et al.
IEEE TPAMI