Gaussian Process Regression for Out-of-Sample Extension

7 Mar 2016Oren BarkanJonathan WeillAmir Averbuch

Manifold learning methods are useful for high dimensional data analysis. Many of the existing methods produce a low dimensional representation that attempts to describe the intrinsic geometric structure of the original data... (read more)

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