Context-guided Data Association
Context-Guided Data Association is a data association method in multi-sensor fusion systems that leverages contextual information—such as spatial, temporal, or environmental constraints—to disambiguate correspondences between sensor measurements and target entities, thereby improving matching accuracy under uncertainty.
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Publications
138
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16
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6
Institutions
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2017–2026
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An information fusion based approach to context-based fine-tuning of GPT models
Toan Nguyen Mau, Anh-Cuong Le, Duc-Hong Pham et al. · Information Fusion · 2023 · 41 citations
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Ton Duc Thang University
Ho Chi Minh City, Vietnam
1 h-index
1 publications
41 citations
RMIT University
Melbourne, Australia
1 h-index
4 publications
204 citations
Electric Power University
Hanoi, Vietnam
1 h-index
1 publications
41 citations

Southwest Jiaotong University
Chengdu, China
1 h-index
6 publications
276 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
46 citations
Japan Advanced Institute of Science and Technology
Nomi Shi, Japan
1 h-index
2 publications
82 citations
1–6 of 6
1 publications · 51 citations
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JAG · 1 publications · 46 citations
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1 publications · 41 citations
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