Characteristic discriminative prototype network with detailed interpretation for classification

Jiajun Wen, Heng Kong, Zhihui Lai, Zhijie Zhu

Abstract: Highlights•We propose a novel interpretable prototype learning method for classification.•The prototype learning mechanism in the previous research is analyzed and the drawbacks are revealed.•This paper presents a new strategy to learn the prototype within the dynamic region by similarity score.