A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine-Reference-Cited by-同舟云学术

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A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine

Published:2022-02-24 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd Asia Service Sciences and Software Engineering Conference
language:
Short-container-title:

Author:

Huang Hui¹,Rong Hai-Jun²,Yang Zhao-Xu²

Affiliation:

1. School of Aerospace Engineering, Xi'an Jiaotong University, China

2. Xi'an Jiaotong University, China

Funder

the Science and Technology Development Fund, Macau SAR

the Macao Young Scholar Program

the Natural Science Basic Research Plan in Shaanxi Province of China

the National Natural Science Foundation of China

the Zhuhai Science and Technology Innovation Bureau Zhuhai-Hong Kong-Macau Special Cooperation Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3523181.3523209

Reference22 articles.

1. Extreme Learning Machine for Regression and Multiclass Classification

2. Human face recognition based on multidimensional PCA and extreme learning machine

3. Leukocyte image segmentation by visual attention and extreme learning machine

4. Human action recognition using extreme learning machine based on visual vocabularies

5. GPU-accelerated and parallelized ELM ensembles for large-scale regression

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1. An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices;Neural Computing and Applications;2022-11-29

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