Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation

Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation

Extreme learning machine is characterized by less training parameters, fast training speed, and strong generalization ability. It has been applied to obtain feature representations from the complex data in the tasks of data clustering or classification. In this paper, a graph embedding-based denoisi...

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Bibliographic Details
Main Authors: Hongwei Ge, Weiting Sun, Mingde Zhao, Yao Yao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Extreme learning machine
stacked autoencoder
denoising
graph embedding
Online Access:https://ieeexplore.ieee.org/document/8620205/

Internet

https://ieeexplore.ieee.org/document/8620205/

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