Discriminative Auto-Encoder With Local and Global Graph Embedding

Discriminative Auto-Encoder With Local and Global Graph Embedding

In order to exploit the potential intrinsic low-dimensional structure of the high-dimensional data from the manifold learning perspective, we propose a global graph embedding with globality-preserving property, which requires that samples should be mapped close to their low-dimensional class represe...

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Bibliographic Details
Main Authors: Rui Li, Xiaodan Wang, Jie Lai, Yafei Song, Lei Lei
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Manifold learning
graph embedding
discriminative auto-encoder
deep learning
Online Access:https://ieeexplore.ieee.org/document/8985268/

Internet

https://ieeexplore.ieee.org/document/8985268/

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