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Multiple Manifold Learning Framework based on Hierarchical Mixture Density Model
Xiaoxia Wang , Peter Tino , Mark A. Fardal
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Oznake: computer science;machine learning
Several manifold learning techniques have been developed to learn, given a data, a single lower dimensional manifold providing a compact representation of the original data. However, for complex data sets containing multiple manifolds of possibly of different dimensionalities, it is unlikely that th ...
Leto: 2008 Vir: videolectures.net
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