CHARACTERIZATION OF COURSE AND TERRAIN AND THEIR EFFECT ON SKIER SPEED IN WORLD CUP ALPINE SKI RACING.




Cluster-HGNN: Deep Local Features Clustering for Few-Shot Image Classification With Hybrid Graph Neural Networks

Graph neural networks (GNNs) have shown great promise in few-shot learning, where they typically represent the entire feature of a sample as a node.However, this approach can overlook finer details within the sample, as GNNs usually measure the distance between nodes to determine overall differences, making them prone to background noise interferen

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