$\mathcal{G}$ -Softmax: Improving Intraclass Compactness and Interclass Separability of Features

Research article (IEEE Transactions on Neural Networks and Learning Systems, 2019) · cited 52× · AI/ML
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$\mathcal{G}$ -Softmax: Improving Intraclass Compactness and Interclass Separability of Features

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$\mathcal{G}$ -Softmax: Improving Intraclass Compactness and Interclass Separability of Features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). $\mathcal{G}$ -Softmax: Improving Intraclass Compactness and Interclass Separability of Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/mathcal-g-softmax-improving-intraclass-compactness-and-interclass-separability-of-features
MLA “$\mathcal{G}$ -Softmax: Improving Intraclass Compactness and Interclass Separability of Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mathcal-g-softmax-improving-intraclass-compactness-and-interclass-separability-of-features.
BibTeX @misc{4ortxyz_mathcal-g-softmax-improving-intraclass-compactness-and-interclass-separability-of-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{$\mathcal{G}$ -Softmax: Improving Intraclass Compactness and Interclass Separability of Features}}, year = {2026}, url = {https://4ort.xyz/entity/mathcal-g-softmax-improving-intraclass-compactness-and-interclass-separability-of-features}, note = {Accessed: 2026-05-24}}
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