Probability Fusion
Probability Fusion is a late fusion technique that combines probabilistic outputs from multiple models or modalities by aggregating their predicted probability distributions to produce a final decision, distinguished by its reliance on probabilistic calibration and combination strategies such as weighted averaging, product rules, or Bayesian integration.
27
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1.1K
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95
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48
Institutions
Publications per year
2017–2026
11
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iPos-5G: Indoor Positioning via Commercial 5G NR CSI
Yanlin Ruan, Liang Chen, Xin Zhou et al. · IEEE Internet of Things Journal · 2022 · 80 citations
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State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
2 h-index
9 publications
604 citations
Wuhan University
Wuhan, China
2 h-index
9 publications
604 citations

Kumamoto University
Kumamoto, Japan
1 h-index
3 publications
45 citations
Institute of Computing Technology
Beijing, China
1 h-index
3 publications
42 citations
Dalian University of Technology
Dalian, China
1 h-index
2 publications
24 citations

Iona College
New Rochelle, United States
1 h-index
1 publications
37 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
42 citations
University of New Mexico
Albuquerque, United States
1 h-index
1 publications
123 citations
1–8 of 48
1 publications · 25 citations
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Conference · 1 publications · 14 citations
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TFS · 1 publications · 37 citations
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1 publications · 32 citations
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GRSL · 1 publications · 69 citations
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