Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks ...

Abstract: Graph-based methods have demonstrated exceptional performance in semi-supervised classification. However, existing graph-based methods typically construct either a predefined graph in the ...

To this end, we present a novel self-supervised learning (SSL) framework, called multiview subgraph neural networks ( Muse), for handling the long-range dependencies. In particular, we propose an ...

An alternative is self-supervised contrastive representation learning, which differentiates similar and ... results due to the application of PA in the anomaly detection process. It is evident that ...

All Tesla vehicles with Full Self-Driving (Supervised) in the US are now under ... but Tesla has been through that process several times, and more often than not, the automaker has been able ...

An online runner to play, learn, and create with D2, the modern diagram scripting language that turns text to diagrams.

Eagle CAD has a steeper learning curve than others but has some ... This video starts showing the schematic and library portions of the program. We have also added several supplementary videos ...