Probabilistic Feature Fusion
Probabilistic Feature Fusion is a feature-level fusion method that integrates multimodal features by modeling their uncertainty and interdependencies through probabilistic frameworks to enhance representation learning.
63
Publications
2.6K
Citations
234
Authors
118
Institutions
Publications per year
2017–2026
19
Parents
63
Probabilistic and Bottle-Neck Features for LVCSR of Meetings
František Grézl, Martin Karafiát, Stanislav Kontar et al. · 2007 · 341 citations
FAB-MAP + RatSLAM: Appearance-based SLAM for multiple times of day
Arren Glover, William Maddern, Michael Milford et al. · 2010 · 210 citations · Full text
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118

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
9 publications
231 citations

Hefei University of Technology
Hefei, China
2 h-index
2 publications
75 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
124 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
84 citations
Yonsei University
Seoul, South Korea
2 h-index
4 publications
130 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
5 publications
86 citations
Intel (United States)
Santa Clara, United States
2 h-index
6 publications
268 citations

Urbana University
Urbana, United States
2 h-index
2 publications
35 citations
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4 publications · 89 citations
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2 publications · 36 citations
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2 publications · 57 citations
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1 publications · 25 citations
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1 publications · 24 citations
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