Deep Image Feature Learning With Fuzzy Rules-Reference-Cited by-同舟云学术

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Deep Image Feature Learning With Fuzzy Rules

Published:2024-02 Issue:1 Volume:8 Page:724-737
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Ma Xiang¹,Chen Liangzhe¹,Deng Zhaohong¹^ORCID,Xu Peng¹,Yan Qisheng²,Choi Kup-Sze³^ORCID,Wang Shitong¹^ORCID

Affiliation:

1. School of Artificial Intelligence and Computer Science, Jiangsu Key Laboratory of Digital Design and Software Technology, Jiangnan University, Wuxi, China

2. School of Science, East China Institute of Technology, Nanchang, China

3. The Centre for Smart Health, The Hong Kong Polytechnic University, Hong Kong, China

Funder

National key R & D Plan

National Natural Science Foundation of China

Hong Kong Research Grants Council

CAAI-Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/10412693/10091676.pdf?arnumber=10091676

Reference49 articles.

1. Histograms of Oriented Gradients for Human Detection

2. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

3. A Bayesian Hierarchical Model for Learning Natural Scene Categories

4. In defense of soft-assignment coding

5. Lost in quantization: Improving particular object retrieval in large scale image databases

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review;IEEE Transactions on Fuzzy Systems;2024-07

2. Circuit Implementation of Memristive Fuzzy Logic for Blood Pressure Grading Quantification;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

3. Multilayer Stacked Evolving Fuzzy System Combined with Compressed Representation Learning;IEEE Transactions on Fuzzy Systems;2023

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