Feature-to-decision Mapping
Feature-To-Decision Mapping is a late fusion strategy that integrates extracted features from multiple modalities by directly transforming them into a final decision through a learned or predefined mapping function, thereby distinguishing itself from intermediate fusion approaches by operating at the decision level rather than the feature or score level.
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Institutions
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2017–2026
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Feature fusion: parallel strategy vs. serial strategy
Jian Yang, Jian Yang, Jing Yang et al. · Pattern Recognition · 2003 · 457 citations
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Renmin University of China
Beijing, China
1 h-index
7 publications
294 citations

Shenzhen University
Shenzhen, China
1 h-index
1 publications
42 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
5 publications
2.3K citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
32 citations
Nanjing University of Science and Technology
Nanjing, China
1 h-index
5 publications
2.3K citations
Northeast Petroleum University
Daqing, China
1 publications
10 citations
1–6 of 5
1 publications · 42 citations
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1 publications · 457 citations
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1 publications · 10 citations
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