All Media Types
Lane compression: a lightweight lossless compression method for machine learning on embedded systems
Ko Y., Chadwick A., Bates D., Mullins R. ACM Transactions on Embedded Computing Systems 20(2): 1-26, 2021. Type: Article
Yonsun Ko’s paper presents an innovative approach to compressing machine learning models for use on embedded systems. The paper proposes lane compression, a new compression method that is specifically designed to be lightweight and lossless,...
May 17 2023
Reproduction in whole or in part without permission is prohibited. Copyright 1999-2023 ThinkLoud