Design and Evaluation of Object Classifiers for Probabilistic Decision-Making in Autonomous Systems
Hamad Ullah,Weisi Fan,Tichakorn Wongpiromsarn,Hamad Ullah,Weisi Fan,Tichakorn Wongpiromsarn
Object classification is a key element that enables effective decision-making in many autonomous systems. A more sophisticated system may also utilize the probability distribution over the classes instead of basing its decision only on the most likely class. This paper introduces new performance metrics: the absolute class error (ACE), expectation of absolute class error (EACE) and variance of abs...
