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Found 2 papers, 2 papers with code
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
In this paper, we propose an end-to-end model of Deep Dual Support Vector Data description based Autoencoder (Dual-SVDAE) for anomaly detection on attributed networks, which considers both the structure and attribute for attributed networks.
Variational Representation Learning for Vehicle Re-Identification
One of the most challenging problems is to learn an efficient representation for a vehicle from its multi-viewpoint images.
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