Learning low bending and low distortion manifold embeddings

Autoencoders are a widespread tool in machine learning to transform high-dimensional data into a lowerdimensional representation which still exhibits the essential characteristics of the input. The encoder provides an embedding from the input data manifold into a latent space which may then be used...

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Hauptverfasser:	Braunsmann, Juliane, Rajković, Marko, Rumpf, Martin, Wirth, Benedikt
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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