Latent State Estimation
Latent State Estimation is the statistical inference process归属于 state-space modeling that specifically involves determining the unobserved system states from noisy measurements, distinguished by its reliance on probabilistic filtering or smoothing techniques to recover hidden dynamics over time.
190
Publications
8.3K
Citations
576
Authors
294
Institutions
Publications per year
2017–2026
95
190
Efficient Nonlinear Markov Models for Human Motion
Andreas Lehrmann, Peter Gehler, Sebastian Nowozin · 2014 · 189 citations
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294
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
23 publications
725 citations
Stanford University
Stanford, United States
6 h-index
20 publications
1K citations
University of California, Berkeley
Berkeley, United States
6 h-index
15 publications
1.1K citations
University of Oxford
Oxford, United Kingdom
6 h-index
17 publications
594 citations
Harvard University
Cambridge, United States
5 h-index
7 publications
164 citations
New York University
New York, United States
4 h-index
8 publications
152 citations
Duke University
Durham, United States
4 h-index
6 publications
118 citations
Columbia University
New York, United States
4 h-index
6 publications
185 citations
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Repository · 17 publications · 771 citations
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Conference · 6 publications · 261 citations
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5 publications · 134 citations
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4 publications · 112 citations
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4 publications · 151 citations
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