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Oznake: computer science;machine learning;manifold learning
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or "unrolling" of a manifold into a lower dimensional space. Instead, we treat it as the problem of learning a representation of a nonlinear, possibly non-isome ...
Leto: 2007 Vir: videolectures.net
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