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pro vyhledávání: '"Atkins, Bobita"'
Autor:
Akwei, Bernard, Atkins, Bobita, Bailey, Rachel, Dalal, Ashka, Dinin, Natalie, Kerby-White, Jonathan, McGuinness, Tess, Patricks, Tonya, Rogers, Luke, Romanelli, Genevieve, Su, Yiheng, Teplyaev, Alexander
Eigenmaps are important in analysis, geometry, and machine learning, especially in nonlinear dimension reduction. Approximation of the eigenmaps of a Laplace operator depends crucially on the scaling parameter $\epsilon$. If $\epsilon$ is too small o
Externí odkaz:
http://arxiv.org/abs/2406.19510
