Multisensor Feature Fusion
Multisensor Feature Fusion is a feature-level fusion technique that integrates complementary and discriminative features extracted from multiple heterogeneous sensors to enhance representation richness and classification accuracy in multimodal data analysis.
703
Publications
38.9K
Citations
2.6K
Authors
797
Institutions
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2017–2026
498
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703
Intrusion detection systems and multisensor data fusion
T. Bass · Communications of the ACM · 2000 · 593 citations · Full text
Multimodal Biometrics: An Overview
Arun Ross, Anil K. Jain · 2004 · 558 citations · Full text
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Chinese Academy of Sciences
Beijing, China
20 h-index
66 publications
4.2K citations

Shanghai Jiao Tong University
Shanghai, China
19 h-index
53 publications
3.8K citations
Tsinghua University
Beijing, China
16 h-index
51 publications
4.1K citations

Beijing Institute of Technology
Beijing, China
13 h-index
39 publications
2.6K citations

Zhejiang University
Hangzhou, China
13 h-index
32 publications
3K citations
Wuhan University
Wuhan, China
12 h-index
38 publications
1.7K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
24 publications
1.4K citations

Xidian University
Xi'an, China
11 h-index
47 publications
2.3K citations
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28 publications · 1.6K citations
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