An Explicit Nonlinear Mapping for Manifold Learning

Abstract

Manifold learning is a hot research topic in the held of computer science and has many applications in the real world. A main drawback of manifold learning methods is, however, that there are no explicit mappings from the input data manifold to the output embedding. This prohibits the application of manifold learning methods in many practical problems such… (More)
DOI: 10.1109/TSMCB.2012.2198916

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