Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders

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...

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Bibliographic Details
Main Authors: Fayeem Aziz, Aaron S. W. Wong, Stephan Chalup
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Algorithms
Subjects:
deep autoencoder
dimensionality reduction
manifold learning
3-manifold
machine learning
manifold alignment
autoencoder
deep neural network
deep learning
double pendulum
Online Access:https://www.mdpi.com/1999-4893/12/9/186

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https://www.mdpi.com/1999-4893/12/9/186

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