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Updated: Sep 9, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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監視されたグロモフ・ワッサースタイン最適輸送とメトリック保存制約

Zixuan Cang1, Yaqi Wu2, Yanxiang Zhao2

  • 1Department of Mathematics, Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695 USA.

SIAM journal on mathematics of data science
|September 2, 2025
PubMed
まとめ

グロモフ・ワッサースタイン (sGW) を導入し 距離の制限を強める 最適な輸送方法となりました このアプローチは,特に単細胞RNAシーケンシングデータのような部分的に重複するデータセットのデータアライメントを強化します.

キーワード:
28A33 について49Q22 について65K10 について最低の頂点カバーミラーC降下非凸の最適化監督されているグロモフ・ワッサースタイン監督された最適輸送ソリューション

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