Representation learning by hierarchical ELM auto‐encoder with double random hidden layers

Representation learning by hierarchical ELM auto‐encoder with double random hidden layers

Recent research developments of extreme learning machine (ELM) with multilayer network architecture lead to a promising high performance with extremely fast training speed for representation learning. In this work, the authors are dedicated to develop an efficient and expressive representation learn...

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Bibliographic Details
Main Authors: Rui Li, Xiaodan Wang, Lei Lei, Chongming Wu
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:IET Computer Vision
Subjects:
random hidden mapping layers
output layer
decoding feature
stacking DELM-AE
hierarchical structure
H-DELM model
Online Access:https://doi.org/10.1049/iet-cvi.2018.5590

Internet

https://doi.org/10.1049/iet-cvi.2018.5590

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