Learning Bounds for Open-Set Learning

Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

Abstract: Traditional supervised learning aims to train a classifier in the closed-set world, where training and test samples share the same label space. In this paper, we target a more challenging and re_x0...