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Shuyuan Chen

Publications

Citations

Publications by Year

20212021

Co-Authors:

Lin FengShenglan LiuYang LiuHong QiaoMuxin Sun

Shuyuan Chen

Affiliation

School of Innovation and Entrepreneurship

Dalian University of Technology

Dalian, China

Faculty of Electronic Information and Electrical Engineering

Dalian University of Technology

Dalian, China

Publication Topics

Accurate Characterization,
CNN Features,
Clustering-based Methods,
Content-based Image Retrieval,
Fusion Method,
HSV Color,
Image Features,
Image Retrieval,
Image Retrieval Task,
Influence Of Social Networks,
Intersection Over Union,
K-nearest Neighbor

Biography

Shuyuan Chen is currently pursuing the B.S. degree with the School of Computer Science, Dalian University of Technology, Dalian, China.,His research interests include gesture recognition and machine learning.(Based on document published on 17 April 2020).

Publications

Citations

Publications by Year

20212021

Co-Authors:

Lin Feng
Shenglan Liu
Yang Liu
Hong Qiao
Muxin Sun

Author's Published Works

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Shuyuan Chen(1)
Hong Qiao(1)
Yang Liu(1)
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School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, China(1)
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China(1)
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China(1)
Qianxun Spatial Intelligence Inc., Shanghai, China(1)
IEEE Transactions on Neural Networks and Learning Systems(1)
IEEE(1)
Accurate Characterization(1)
CNN Features(1)
Clustering-based Methods(1)
Content-based Image Retrieval(1)
Fusion Method(1)

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Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval

Shenglan Liu;Muxin Sun;Lin Feng;Hong Qiao;Shuyuan Chen;Yang Liu

IEEE Transactions on Neural Networks and Learning Systems

Year: 2021 | Volume: 32, Issue: 3 | Journal Article |

Cited by: Papers (8)

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A single feature is hard to describe the content of images from an overall perspective, which limits the retrieval performances of single-feature-based methods in image retrieval tasks. To fully describe the properties of images and improve the retrieval performances, multifeature fusion ranking-based methods are proposed. However, the effectiveness of multifeature fusion in image retrieval has no...Show More

Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval

Shenglan Liu;Muxin Sun;Lin Feng;Hong Qiao;Shuyuan Chen;Yang Liu

IEEE Transactions on Neural Networks and Learning Systems

Year: 2021 | Volume: 32, Issue: 3 | Journal Article |

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