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Hessian Eigenmaps: new locally linear embedding techniques for high-dimensional data
Manifold Learning Locally Linear Embedding
2015/8/21
We describe a method to recover the underlying parametrization of scattered data
(mi) lying on a manifold M embedded in high-dimensional Euclidean space. The method,
Hessian-based Locally Linear Emb...