Additionally, we extend our analysis to more general classifiers and datasets, considering a broad range of loss-based sampling strategies and smooth convex ... regression models based upon ...

The study is useful for advancing spatial transcriptomics through its novel regression ... Construct the normalized graph Laplacian matrix based on the anatomical structures and Euclidean distance ...

To address these issues, this paper proposes a sparse fingerprint sample collection strategy and introduces a novel few-shot indoor localization model based on a simplified graph convolutional and ...

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