Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders
The aim of manifold learning is to extract low-dimensional manifolds from high-dimensional data. Manifold alignment is a variant of manifold learning that uses two or more datasets that are assumed to represent different high-dimensional representations of the same underlying manifold. Manifold alig...
Main Authors: | Fayeem Aziz, Aaron S. W. Wong, Stephan Chalup |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/12/9/186 |
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