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Factorized Diffusion Map Approximation

Diffusion maps are among the most powerful Machine Learning tools to analyze and work with complex high-dimensional datasets. Unfortunately, the estimation of these maps from a finite sample is known to suffer from the curse of dimensionality. Motivated by other machine learning models for which the...

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Autores principales: Amizadeh, Saeed, Valizadegan, Hamed, Hauskrecht, Milos
Formato: Artigo
Lenguaje:Inglês
Publicado: 2012
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4190137/
https://ncbi.nlm.nih.gov/pubmed/25309676
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