Constrained Priors
Constrained Priors is a type of prior distribution in Bayesian statistics that incorporates explicit restrictions or limitations on the parameter space to reflect known structural constraints, physical boundaries, or logical dependencies, thereby distinguishing it from unconstrained priors by formally encoding domain-specific knowledge into the probabilistic model.
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2017–2026
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DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai, Xiangmin Xu, Kui Jia et al. · IEEE Transactions on Image Processing · 2016 · 3.3K citations · Full text
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University of Illinois Urbana-Champaign, United States
2 publications · 132 citations
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University of Pennsylvania
Philadelphia, United States
3 h-index
3 publications
417 citations
University College London
London, United Kingdom
3 h-index
4 publications
346 citations

Xidian University
Xi'an, China
3 h-index
9 publications
708 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
3 publications
39 citations

National Bureau of Economic Research
Cambridge, United States
2 h-index
3 publications
132 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
6 publications
408 citations
Idiap Research Institute
Martigny-Combe, Switzerland
2 h-index
4 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
173 citations
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JCAP · 4 publications · 339 citations
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Repository · 3 publications · 69 citations
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