SetMargin loss applied to deep keystroke biometrics with circle packing interpretation
作者:
Highlights:
• A new keystroke identification method based on a novel loss function.
• We introduce the Circle Packing problem as a novel way to gain insights into learned feature spaces.
• Experiments on open-set keystroke biometric database with 78,000 subjects.
摘要
•A new keystroke identification method based on a novel loss function.•We introduce the Circle Packing problem as a novel way to gain insights into learned feature spaces.•Experiments on open-set keystroke biometric database with 78,000 subjects.
论文关键词:Keystroke biometrics,Circle packing,Deep learning,DML
论文评审过程:Received 23 April 2021, Revised 13 August 2021, Accepted 28 August 2021, Available online 29 August 2021, Version of Record 8 September 2021.
论文官网地址:https://doi.org/10.1016/j.patcog.2021.108283