An Emergent Space for Distributed Data with Hidden Internal Order through Manifold Learning

Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations; these are, in turn, useful in nonlinear model identification tasks. We focus here on the case of time series data that can ultimately be modell...

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Bibliografiske detaljer
Udgivet i:IEEE Access
Main Authors: Kemeth, Felix P., Haugland, Sindre W., Dietrich, Felix, Bertalan, Tom, Höhlein, Kevin, Li, Qianxiao, Bollt, Erik M., Talmon, Ronen, Krischer, Katharina, Kevrekidis, Ioannis G.
Format: Artigo
Sprog:Inglês
Udgivet: 2018
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6553659/
https://ncbi.nlm.nih.gov/pubmed/31179198
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2018.2882777
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