Gaussian Process Filtering
Gaussian Process Filtering is a Bayesian filtering method that employs Gaussian processes as prior distributions over functions to recursively estimate the state of a dynamic system from noisy observations.
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9.5K
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463
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212
Institutions
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2017–2026
74
Variants
Gp Filtering
Parents
156
Recursive implementation of the Gaussian filter
Ian Young, Lucas J. van Vliet · Signal Processing · 1995 · 386 citations
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University of Oxford
Oxford, United Kingdom
10 h-index
30 publications
6.3K citations
University of Washington
Seattle, United States
7 h-index
14 publications
1.6K citations
University of Sheffield
Sheffield, United Kingdom
6 h-index
14 publications
590 citations

Université Laval
Québec, Canada
4 h-index
6 publications
168 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
319 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
6 publications
277 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
11 publications
489 citations

Linköping University
Linköping, Sweden
4 h-index
9 publications
724 citations
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Repository · 5 publications · 226 citations
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4 publications · 371 citations
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4 publications · 824 citations
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3 publications · 86 citations
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MSSP · 3 publications · 71 citations
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