Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

Negligible

Quantum Autoencoder Frameworks for?Network Anomaly Detectioning patterns in the network traffic is critical to identify suspicious behaviors. This paper proposes novel quantum deep autoencoder-based anomaly detection frameworks for accurately detecting the security attacks that emerge in the network. In particular, we propose three frameworks, one by constru

生來

接合

搬運(yùn)工

inclusive

metropolitan

衍生

SGLP-Net: Sparse Graph Label Propagation Network for?Weakly-Supervised Temporal Action Localizationproaches have limitations in capturing semantic context, resulting in the risk of ignoring snippets that are far apart but sharing the same action categories. To address this issue, we propose an action label propagation network utilizing sparse graph networks to effectively explore both temporal an

極肥胖

VFIQ: A Novel Model of?ViT-FSIMc Hybrid Siamese Network for?Image Quality AssessmentiT-FSIMc Hybrid Siamese Network for Full Reference IQA – that combines signal processing and leaning-based approaches, the two categories of IQA algorithms. Specifically, we design a hybrid Siamese network that leverages the Vision Transformer (ViT) and the feature similarity index measurement (FSIM

珍奇

FLAT