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ENTITY Small Sample Learning of Superpixel Classifiers for EM Segmentation

Small Sample Learning of Superpixel Classifiers for EM Segmentation

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    New Theory Guarantees Domain Generalization in Small-Sample Learning

    A new theoretical framework for domain generalization in small-sample learning has been proposed, addressing a fundamental challenge in machine learning where limited data leads to unstable model estimation. This resear…