most citedDeep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 2 cited

Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks

Fengbin Zhang, Haoyi Fan, Ruidong Wang +2

Networks are ubiquitous in the real world such as social networks and communication networks, and anomaly detection on networks aims at finding nodes whose structural or attributed…

cs.CV2019

Variational Representation Learning for Vehicle Re-Identification

Saghir Ahmed Saghir Alfasly, Yongjian Hu, Tiancai Liang +3

Vehicle Re-identification is attracting more and more attention in recent years. One of the most challenging problems is to learn an efficient representation for a vehicle from its…