Yaoyi Li

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1Decai Yu
1Dayan Ma
1Xi Chen
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Spectral clustering is one of the most popular clustering approaches with the capability to handle some challenging clustering problems. Most spectral clustering methods provide a nonlinear map from the data manifold to a subspace. Only a little work focuses on the explicit linear map which can be viewed as the unsupervised distance metric learning. In(More)
We demonstrate experimentally the existence of two stability regimes of Ag nanoislands grown on a Si(111)-(4 x 1)-In surface: a conventional regime at low temperature where only one island shape is stable, and an unconventional regime at room temperature (RT) where isotropic compact islands coexist with anisotropic elongated ones. First-principles(More)
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