Uncertainty-aware Dimensionality Reduction
Uncertainty-Aware Dimensionality Reduction is a dimensionality reduction technique that explicitly incorporates quantified uncertainty from high-dimensional data into the projection process to preserve uncertainty structure in the reduced space.
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1.2K
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2017–2026
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Miguel A. Bessa, Ramin Bostanabad, Zeliang Liu et al. · Computer Methods in Applied Mechanics and Engineering · 2017 · 550 citations
Natural Sciences, Materials Engineering, Materials Science +12
Uncertainty-Aware Principal Component Analysis
Jochen Görtler, Thilo Spinner, Dirk Streeb et al. · IEEE Transactions on Visualization and Computer Graphics · 2019 · 50 citations · Full text
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University of California, Santa Barbara
Santa Barbara, United States
1 h-index
2 publications
42 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
2 publications
120 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
68 citations
University of Technology Malaysia
Johor Bahru, Malaysia
1 h-index
3 publications
99 citations
University of California, Davis
Davis, United States
1 h-index
2 publications
20 citations
IFP Énergies nouvelles
Rueil-Malmaison, France
1 h-index
1 publications
30 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
6 publications
96 citations

Akita Prefectural University
Akita, Japan
1 h-index
1 publications
68 citations
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2 publications · 82 citations
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1 publications · 68 citations
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1 publications · 14 citations
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1 publications · 164 citations
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1 publications · 21 citations
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