Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?

no code implementations • 13 Jun 2021 • Liu Feihong, Yang Junwei, He Xiaowei, Zhou Luping, Feng Jun, Shen Dinggang

In this work, after diving into the phase correction procedures, we argue that even a perfect filter is insufficient for phase correction because the correction procedures are incapable of distinguishing sign-symbols of noise, resulting in artifacts (\textit{i. e.}, arbitrary signal loss).

Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications

no code implementations • 7 Apr 2021 • Lixuan Yang, Alessandro Finamore, Feng Jun, Dario Rossi

The increasing success of Machine Learning (ML) and Deep Learning (DL) has recently re-sparked interest towards traffic classification.

Classification Clustering +2